#+TITLE: Passepartout Evolutionary Roadmap #+STARTUP: content #+FILETAGS: :docs:roadmap: * The Evolutionary Roadmap Understanding Passepartout as a function in time is not nostalgia. It is architectural guidance. Every decision in v0.x should be made with awareness of where the system is going. Code written today becomes the substrate for the Lisp Machine. Skills designed today become the vocabulary the symbolic engine speaks tomorrow. The probabilistic beginning is not a weakness to overcome. It is the bootstrap. The system learns the domain through probabilistic inference, and that learned knowledge becomes the seed for the symbolic engine. By the time the symbolic engine takes over, it has a rich knowledge graph to reason about, grown from thousands of probabilistic interactions. This is how you build a reasoning machine: start with a learner, make it learn to verify by watching itself and its user, let verification become the core. Every blocked action becomes a rule. Every approved exception becomes a pattern. The symbolic layer grows at the probabilistic layer's expense. Remove the learner once it has learned enough. Each version expands the deterministic layer. The Dispatcher writes rules from approved exceptions. Shadow mode runs trial executions. Tool permission tiers mature from simple allow/deny to nuanced context-aware policies. The agent becomes less likely to attempt dangerous actions not because it is smarter but because the guard has more complete information. The roadmap works backwards from Neurosymbolic Maturity (v1.0.0) and Lisp Machine Emergence (v2.0.0). Each build step is one minor version — one capability, measured in lines, verified by tests. Breadth releases (TUI, tools, gateways) alternate with depth releases (fact store, Screamer, VivaceGraph, ACL2) so the system is usable at every step. The TODO states in each version's Tasks section are the authoritative task tracker. The feature tables describe what each version delivers. Feature releases increment the minor version (v0.X.0). Bugfix and hardening releases increment the patch version (v0.X.Y). This ensures that security patches and critical fixes are visible in the version number and can ship independently of feature work. No feature release ships without its prerequisite hardening releases resolved. ** File Update Checklist When a version's state changes (DONE → tested → released), update these locations: 1. ~ROADMAP.org~ — mark item DONE, update LOGBOOK timestamp 2. ~README.org~ — update version badge (line 6), update Current Capabilities table (add new Stable rows for shipped features, remove Planned rows that have shipped) 3. ~~.env.example~ — update version references as needed 4. ~lisp/core-transport.lisp~ — update the ~make-hello-message~ version string 5. ~passepartout~ (bash entry point) — update version reference 6. ~CHANGELOG.org~ — add new version entry with DONE items, LOGBOOK release date, and feature summaries On release: 1. Tag the release on GitHub 2. Extract DONE items from ROADMAP (all items with LOGBOOK timestamps since the last release tag) and use as the release notes body 3. If a ~CHANGELOG.md~ is needed for packaging tools, auto-generate it from ROADMAP DONE items ** v0.8.0: TUI Stabilization — cl-tty Migration + Information Radiator The croatoan TUI is replaced entirely by ~cl-tty~ v1.1.0. In progress across multiple branches: the main branch does XDG-based tangling (~/.local/share/passepartout/lisp/), the ~refactor/cl-tty-tui~ branch keeps lisp files in the repo (~lisp/~). Both converge on the same goal — a stable, feature-complete TUI with sidebar, command palette, warm palette, TrueColor themes, and robust terminal handling. *** Minibuffer — cl-tty dialog stack :PROPERTIES: :ID: id-v080-minibuffer :CREATED: [2026-05-10 Sat] :END: *** Conversation view — cl-tty ScrollBox + Markdown :PROPERTIES: :ID: id-v080-conversation :CREATED: [2026-05-13 Wed] :END: - ~ScrollBox~ with ~sticky-scroll~ (auto-follows new content, respects manual scroll-up) - User messages rendered as ~Box~ (role-colored left border) - Agent messages rendered via cl-tty's ~Markdown~ + ~Code~ + ~Diff~ renderables - Tool calls rendered as ~Select~ (collapsible, status-indicated: spinner running / green done / red error) - Gate trace as a collapsible ~Box~ within agent messages (property-drawer style) ~150 lines. *** Command palette — cl-tty Select :PROPERTIES: :ID: id-v080-palette :CREATED: [2026-05-13 Wed] :END: - Ctrl+P opens a ~select-dialog~ with all daemon commands - Fuzzy-filtered with categories (session, memory, system, help) - Enter dispatches the command to the daemon via TCP, displays result in conversation ~40 lines. *** Sidebar — cl-tty slot system :PROPERTIES: :ID: id-v080-sidebar :CREATED: [2026-05-13 Wed] :END: - 6 panels as cl-tty ~slot~ registrations (gate trace, focus, rules, context, cost, files) - Toggle with Ctrl+B or auto-hide on narrow terminals (<120 cols) - Panel data sourced from daemon's existing response plist keys (~:rule-count~, ~:focal-id~, ~:gate-trace~, etc.) ~80 lines. *** Status bar — cl-tty Box + Theme :PROPERTIES: :ID: id-v080-statusbar :CREATED: [2026-05-13 Wed] :END: - Bottom-most line: directory, LSP status (green dot), MCP count, ~/status~ hint - Degraded-mode signaling (amber when ~*degraded-components*~ non-nil) - cl-tty theme tokens for colors — works with all 8 presets ~30 lines. *** Keybinding layer — cl-tty keymap :PROPERTIES: :ID: id-v080-keybindings :CREATED: [2026-05-13 Wed] :END: - Global: Ctrl+P (palette), Ctrl+B (sidebar), Ctrl+Q (quit), PageUp/PageDn (scroll) - Prompt: Enter (send), Ctrl+C (interrupt), Up/Dn (history) - cl-tty's layered keymaps handle priority (global → local → input) ~40 lines. *** Warm palette + three-zone layout (formerly v0.9.0) The v0.8.0 TUI had correct internal wiring but was unusable — input at the top instead of the bottom, layout bugs where chat overwrote the status bar, and Ctrl-key shortcuts silently failed. This work restructures the TUI into a clean three-zone design with a warm amber/gold color palette. 18 theme tokens, 8 warm presets. All integrated into the ongoing v0.8.0 TUI stabilization. *** TUI hardening (formerly v0.10.x) Terminal cursor fixes, input handling, flicker elimination, CSI escape detection, multi-line input, dark-neutral theme variant, cl-tty style-reset. Incremental stabilization of the cl-tty TUI runtime. *** Keybinding Reference | Key | Action | |-----|--------| | Enter | Send message | | Alt+Enter | Newline | | Up/Down | History cycle | | Tab | Complete command/path | | Ctrl+P | Command palette | | Ctrl+B | Toggle sidebar | | Ctrl+F | Search messages | | Ctrl+L | Redraw | | Ctrl+D | Quit prompt | | Esc | Interrupt/dismiss | | PageUp/Dn | Scroll chat | | Ctrl+Q | Quit | | ? | Help panel | ** v0.8.1: Hardening — Runtime Safety Fixes :PROPERTIES: :ID: id-v081-hardening :CREATED: [2026-05-20 Wed] :END: Three small fixes that protect the runtime while the TUI stabilizes. Each is a single-session change (minutes, not days). *** Heartbeat error handling :PROPERTIES: :ID: id-v081-heartbeat :CREATED: [2026-05-20 Wed] :END: The heartbeat loop in ~core-pipeline.org~ has no error handler. An unhandled condition in any tick kills the thread — auto-save, cron, and background maintenance die silently. The daemon keeps running but the user sees no evidence. Wrap the loop body in ~handler-case~, log the error, continue. ~5 lines. *** Atomic memory save :PROPERTIES: :ID: id-v081-atomic-save :CREATED: [2026-05-20 Wed] :END: ~save-memory-to-disk~ writes directly to the snapshot path. A crash or SIGINT mid-write truncates the file. Next boot reads garbage and starts with empty memory. Write to ~path.tmp~, then ~rename-file~. ~3 lines. *** Version string consistency :PROPERTIES: :ID: id-v081-versions :CREATED: [2026-05-20 Wed] :END: ~passepartout.asd~ says ~0.4.3~, ~core-transport.org~ handshake says ~0.7.2~, ~core-reason.org~ config prompt says ~v0.7.2~, README and CHANGELOG and tags all diverge. Bring all four to ~0.8.0~. Better yet, define ~*version*~ once and reference it. | File | Line | Change | |------|------|--------| | ~passepartout.asd~ | 4 | ~:version "0.4.3"~ → ~"0.8.0"~ | | ~org/core-manifest.org~ | 25 | same | | ~org/core-transport.org~ | 157 | ~(make-hello-message "0.7.2")~ → ~"0.8.0"~ | | ~org/core-reason.org~ | 260 | ~"v0.7.2"~ in prompt string → ~"v0.8.0"~ | ~4 lines. ** v0.9.0: Eval Harness — Safety Net First Every subsequent release ships with automated regression protection. The eval harness is the gate that makes self-modification safe — before any neurosymbolic component modifies the system, the harness verifies nothing broke. *** TODO Internal evaluation harness — 10 tasks, regression detection :PROPERTIES: :ID: id-v090-eval-harness :CREATED: [2026-05-08 Fri] :END: - New skill: ~symbolic-evaluation.org~ → ~symbolic-evaluation.lisp~ - ~deftask~ macro: define an eval task with ~:setup~ (create test environment), ~:prompt~ (what to ask the agent), ~:verify~ (function that checks the output), ~:teardown~ (cleanup) - ~run-eval-suite~: run all registered tasks, produce score (pass count / total), per-task diagnostics - Initial 10 tasks: find TODOs, create Org note, search codebase, read file, query memory, list projects, run safe shell command, find definition, set TODO state, summarize session - Regression mode: run after each version build. Fail CI if score drops. - Task suite grows with codebase: every bug fix adds a regression task ~200 lines. ** v0.10.0: Emacs Development Environment — Secondary Client cl-tty is the primary TUI (v0.8.0). The Emacs major mode is an optional secondary client for users who prefer Emacs-based workflows. Both clients communicate with the same daemon over the same TCP protocol — they are interchangeable frontends, not competing architectures. *** TODO Emacs major mode :PROPERTIES: :ID: id-v091-emacs-mode :CREATED: [2026-05-10 Sat] :END: - ~passepartout-mode~ major mode for the conversation buffer - Message rendering as Org headlines: role prefix (~:user:~, ~:agent:~, ~:system:~), universal timestamp, content in body. Gate trace as property drawer under agent message headlines - Streaming insertion: LLM response chunks arrive from the daemon and insert incrementally into the buffer (~insert~ as chunks arrive, update on each frame) - Read-only protection on agent response regions (editable regions only in user input area) - Keybindings: ~C-c C-c~ send current input, ~C-c C-k~ interrupt/stop, ~C-c C-a~ approve HITL, ~C-c C-d~ deny HITL - ~100 lines elisp *** TODO M-x command surface :PROPERTIES: :ID: id-v091-emacs-commands :CREATED: [2026-05-10 Sat] :END: Replace croatoan's ~/~ slash-command panel with Emacs ~M-x~ dispatch. Each command is a ~defun passeparate-~ with interactive completion: - ~passepartout-focus~ — completing-read over node IDs from the daemon's focus response. Sets the foveal context - ~passepartout-eval~ — eval a Lisp form in the daemon. Read from minibuffer, send as framed plist, insert result - ~passepartout-theme~ — completing-read over available themes. Sends ~/theme ~ to daemon - ~passepartout-export~ — export session. Prefix arg selects format (~C-u M-x passeparate-export~) - ~passepartout-sidebar~ — toggle the sidebar buffer visibility - ~passepartout-config~ — completing-read over config keys. Sets env var, triggers daemon reload - ~passepartout-coach~ — run self-diagnosis. Inserts coaching report as new message - ~passepartout-agenda~ — run Org agenda query. Inserts results as new message - ~passepartout-quit~ — close connection and kill buffer Each command is a thin wrapper around ~passepartout-send~ (the existing TCP bridge from v0.4.0): construct the correct plist, send it, and insert the response. Completing-read, history, and docstrings are free. ~80 lines elisp. *** TODO Sidebar buffer :PROPERTIES: :ID: id-v091-emacs-sidebar :CREATED: [2026-05-10 Sat] :END: - ~passepartout-sidebar-mode~ — a dedicated side window (right, 42 chars) that updates on each daemon response - Gate Trace panel — per-gate results from the most recent agent response. Colored by state (green/yellow/red) - Focus panel — current foveal node ID + related node count - Rules panel — rule counter with session delta. When symbolic engine is active, shows sufficiency score and provenance breakdown - Context panel — token gauge (percentage bar + color coding) - Cost panel — session cost updated after each LLM call - Files panel — modified files list with +/- line counts - All data already exists in the daemon's response plist (~:rule-count~, ~:foveal-id~, ~:gate-trace~, ~:sufficiency-ratio~). The sidebar is a formatting layer - Toggle via ~M-x passeparate-sidebar~ or ~C-c C-s~ - ~60 lines elisp *** TODO Daemon lifecycle :PROPERTIES: :ID: id-v091-emacs-lifecycle :CREATED: [2026-05-10 Sat] :END: - ~passepartout-start~ — runs ~passepartout daemon~ in a background process, waits for port 9105, connects - ~passepartout-stop~ — sends shutdown signal, kills buffer - ~passepartout-restart~ — stop + start - ~passepartout-status~ — checks daemon health via ~/status~ command, displays in sidebar - ~20 lines elisp + bash wrappers Total: ~260 lines elisp, persisting through v2.0.0+. ** v0.11.0: Phase 0 — Type-Level Gates + Core Integrity (~75 lines) :PROPERTIES: :ID: id-v090-phase0 :CREATED: [2026-05-09 Sat] :END: Add ~:type-level~ metadata to the existing ~defgate~ and ~def-cognitive-tool~ macros. Before any gate predicate evaluates, the dispatcher checks structural type compatibility: a signal at type-level 5 cannot pass a gate at type-level 4 or lower. Self-modification of the safety layer becomes impossible by construction. *** Rationale The Dispatcher gate stack currently prevents self-modification through pattern matching — gate vector 2b catches writes to ~core-*~ files as a heuristic. But there is no /structural/ guarantee preventing a request from modifying the rules that validate it. Pattern-based protection can be bypassed through indirection (an ~eval~ that constructs a write, a skill that redefines a gate function at runtime). A type-level check is not heuristic — it is a category error rejected before any predicate runs, just as PM's theory of types made self-membership syntactically invalid before any logical evaluation. *** Implementation 1. Add ~:type-level~ keyword argument to ~defgate~ (default 0) and ~def-cognitive-tool~ (default 0) in ~core-skills.org~. 2. Add ~gate-type-check~ to the dispatcher's ~run-gates~ function in ~security-dispatcher.org~, executed before any gate predicate. 3. Assign type levels to existing cognitive tools: self-build-core at 5, write-file at 3, read-file at 1, shell at 2, eval at 4. 4. Assign type levels to existing gate vectors: self-build boundary at 5, shell safety at 3, path protection at 2, network exfil at 2, secret content at 1. 5. Add ~dispatcher-check-self-termination~: scan shell commands for patterns targeting the Passepartout process (~kill -9 ~, ~rm -rf ~/.cache/passepartout/~, ~sudo apt remove sbcl~). Return ~:reject-self-termination~ with a diagnostic message explaining which command matched and why it would destroy the agent. Human override is possible via HITL — the gate does not prevent the human from issuing the command in a terminal. It prevents the /LLM/ from issuing it accidentally. ~20 lines. 6. Add ~integrity-verify-core-files~: on heartbeat, hash the eight core files against known-good values stored at daemon startup. On mismatch, inject an integrity alert into the signal queue. ~25 lines, uses existing SHA-256 infrastructure from v0.2.0 Merkle memory. *** Verification Existing FiveAM gate tests continue to pass. New test: signal at type-level 5 targeting a gate at type-level 4 returns ~:reject-type-violation~ without evaluating the gate predicate. New test: signal at type-level 1 passing through a gate at type-level 3 proceeds to predicate evaluation. New test: ~kill -9 ~ returns ~:reject-self-termination~. New test: modified core file is detected by integrity hash check. This is Contribution 1 from ~notes/passepartout-whitehead.org~. Every type-level rejection emits a structured event that Phase 1 ingests as a fact. ~30 lines implement the seed of the ontology without any new dependencies. ~75 lines total, extends dispatcher, no new skill. ** v0.12.0: Full Markdown Rendering :PROPERTIES: :ID: id-v071-markdown-full :CREATED: [2026-05-08 Fri] :END: Extend the markdown renderer from v0.7.1: - OSC 8 hyperlinks: embed ~\x1b]8;;url\x1b\\~ before link text and ~\x1b]8;;\x1b\\~ after. Makes URLs clickable in supporting terminals (iTerm2, Kitty, WezTerm, Ghostty, Windows Terminal). - Blockquotes (~> text~): rendered with a colored left border (theme's ~:accent~ color), indented text. - Tables: aligned column text. No borders (terminal tables with box-drawing characters are noisy). Column alignment inferred from header separators. - Syntax highlighting for code blocks: keyword/string/function colors from theme. Regex-based (no parser dependency). - All markdown features degrade gracefully to plain text on terminals without attribute support. ~100 lines. ** v0.13.0: Phase 0b — Layered Signal Authentication, Layer 1 (~200 lines) :PROPERTIES: :ID: id-v090-phase0b :CREATED: [2026-05-09 Sat] :END: Implement gate vector 0 at priority 700 — before all other gates and before any type-level checking — with Layer 1 (cryptographic authentication) active. Layers 2-4 (sensory, deterministic reasoning, probabilistic) are stubbed with ~:unavailable~ results and deferred to later phases. Signals carry cryptographic signatures verified against a key registry stored as fact-store facts. Automated signal sources cannot impersonate the human. The human can revoke compromised keys. The authorization matrix is per-key, per-action-class. *** Rationale Authentication is layered because no single mechanism suffices. Cryptographic authentication proves key ownership but not identity. A valid key can be used by a compromised process, can sign pre-recorded frames, can be held by someone who is not who they claim to be. The four-layer design (Layer 1: crypto, Layer 2: sensory, Layer 3: deterministic reasoning, Layer 4: probabilistic) stacks evidence. Phase 0b ships Layer 1 — the foundation — with the architecture for layers 2-4 already designed. The ~:source~ field in the signal plist is metadata — it /claims/ origin, it does not /prove/ it. This phase replaces it with cryptographic proof. *** Implementation **** Key generation and signature utilities — extends ~security-vault.lisp~ Generate key pairs for signal sources. Canonicalize signal plists (sorted keys, stripped of the signature field). Sign with the source's private key. Verify with the public key from the key registry. ~50 lines. Uses Ironclad (already an ASDF dependency). The vault already stores credential material — key material extends the same storage with the same encryption. **** Gate vector 0 — extends ~security-dispatcher.lisp~ Registered at priority 700 (before the policy gate at 600, before all other gates). Architecture for all four layers: #+begin_src lisp (defun gate-layered-authentication (signal) (let ((results '())) (let ((crypto-result (auth-crypto-verify signal))) (push (cons :crypto crypto-result) results) (when (eq (getf crypto-result :result) :reject) (return-from gate-layered-authentication (list :result :reject :confidence nil :layer-results (nreverse results))))) (let ((sensory (if (fboundp 'auth-sensory-verify) (auth-sensory-verify signal) '(:result :unavailable)))) (push (cons :sensory sensory) results)) (let ((det (if (fboundp 'auth-deterministic-verify) (auth-deterministic-verify signal) '(:result :unavailable)))) (push (cons :deterministic det) results) (when (eq (getf det :result) :reject) (return-from gate-layered-authentication (list :result :reject :confidence nil :layer-results (nreverse results)))) (let ((prob (if (fboundp 'auth-probabilistic-verify) (auth-probabilistic-verify signal) '(:result :unavailable)))) (push (cons :probabilistic prob) results)) (let ((confidence (aggregate-confidence results))) (list :result :pass :confidence confidence :layer-results (nreverse results)))))) #+end_src Layer 1: verify cryptographic signature, check permission matrix against key registry, reject on failure. ~50 lines. Layers 2-4: stubbed, return ~:unavailable~. **** Key registry — facts in the fact store Key lifecycle facts are admitted in a ~:key-lifecycle~ domain with ~:singular~ cardinality. Key creation, promotion, and revocation are facts with Merkle version chains. The human's key signs new keys into existence and signs revocation. ~50 lines. **** Signal provenance chain — Merkle-linked causality When a signal triggers a downstream signal, each carries a ~:sigchain~ field with all upstream ~(:key-id :signature :auth-result )~ entries. Tampering with any link invalidates the leaf. Revocation propagates through the chain — flagged, not deleted. ~50 lines. **** Deferred Authentication Layers (2-4) - Layer 2 — Sensory: Active when vision/audio processing skills are loaded. Verifies liveness, cross-modal consistency. When unavailable, returns ~:unavailable~. - Layer 3 — Deterministic Identity Reasoning: Active when Phase 2 (Screamer + populated fact store) is complete. Queries the fact store for identity-ruling facts. - Layer 4 — Probabilistic Identity Reasoning: Active when style profiles exist. Uses embedding infrastructure to compare writing style, behavioral patterns. Returns a confidence score; never rejects outright — downgrades authorization. The gate architecture is designed with all four layers from Phase 0b. Adding a layer requires adding a skill, not modifying the gate. *** Verification — ~8 FiveAM tests 1. ~test-sign-verify-roundtrip~ — sign and verify a plist roundtrip. 2. ~test-tampered-signal-rejected~ — modify payload after signing, verification fails. 3. ~test-human-key-permits-write~ — human key with ~:write~ passes Layer 1 and the full gate. 4. ~test-sensor-key-denied-write~ — sensor key proposing a write is rejected. 5. ~test-revoked-key-rejected~ — revoked key is rejected by Layer 1. 6. ~test-sigchain-invalidated-by-revocation~ — root signer revoked flags downstream. 7. ~test-layers-2-3-4-unavailable~ — when Layers 2-4 are not loaded, they return ~:unavailable~ and the gate proceeds with Layer 1 only. 8. ~test-layer-3-rejects-on-contradiction~ — deterministic reasoning (mock) detects identity-ruling contradiction, gate rejects. ~200 lines total. Depends on Phase 0 (type-level gates). ** v0.14.0: Tool Execution Visualization :PROPERTIES: :ID: id-v071-tools :CREATED: [2026-05-08 Fri] :END: When the agent invokes a tool: - Pre-execution: ~[Running: 🔍 search "dispatch" ...]~ in ~:tool-running~ color with spinner - Success: ~✓ search "dispatch" → 12 matches (0.3s)~ in ~:tool-success~ color - Error: ~✗ shell "bad-cmd" → exit 127 (0.1s)~ in ~:tool-failure~ color with error output expanded below - Output collapsed by default to single-line summary. Tab on a tool invocation toggles full output. - Diff display: ~+~ (green) / ~-~ (red) coloring for file edits. 3 lines of context around changes. The ~:tool-output~ theme color provides the background. Uses Croatoan's ~init-pair~ + ~color-pair~ for 256-color backgrounds on tool state regions. ~100 lines. ** v0.15.0: Phase 1 — Minimum Viable Fact Language (~200 lines, new skill) :PROPERTIES: :ID: id-v090-phase1 :CREATED: [2026-05-09 Sat] :END: Ephemeral, in-memory triple store with provenance tracking and contradiction detection. No disk persistence. All facts live in a hash table and are discarded on session end. Gate outcomes are ingested as facts. The gate stack's implicit ontology is materialized as the seed fact set. *** Rationale Three reasons ephemeral is the correct first step: 1. *The fact language is unproven.* Triples with provenance and grounding is a hypothesis that must be tested against real memex content before being committed to a serialization format. 2. *The ontology is emergent.* Categories are created on first use. A persistent format would require a migration story for every category change. Ephemeral avoids this — facts are re-derived on each session start using the evolved ontology. 3. *Rebuildability is the safety net.* Because all facts have a ~:grounding~ to an Org heading, and gate-outcome facts are regenerated from the gate stack on load, the entire symbolic index can be thrown away and rebuilt from scratch. The cost is compute, not data. *** Implementation — ~symbolic-facts.org~ → ~symbolic-facts.lisp~ (skill) **** Abstract Fact Store Interface — design before implementation Before any code is written, the five-function API must be designed and committed: #+begin_example fact-assert :: fact → store → (:admitted | :rejected | :flagged) fact-query :: (entity &key relation policy) → active-value-or-values fact-history :: (entity relation) → ordered chain of versioned facts fact-snapshot :: () → root-hash fact-rollback :: root-hash → store #+end_example This interface is load-bearing. Every consumer — the archivist, Screamer, ACL2, the planner — calls these five functions. They never access the backing store directly. In Phase 1-4, the backing store is an ephemeral hash table. In Phase 5, it is VivaceGraph + Merkle ~memory-object~ wrappers. The interface must be tested against both backends from the start. Every API function receives a FiveAM test that runs against both a hash-table mock and a VivaceGraph mock. The interface also exposes a read-only ~fact-degraded-mode-p~ function. When Screamer is not loaded, the fact store functions with basic hash-table consistency checks (string equality, not constraint solving). When VivaceGraph is not loaded, Prolog queries are unavailable. The degraded-mode flag tells consumers (and the status bar) what is and isn't operational. **** Triple store A hash table keyed by ~(entity relation)~. Values are plists: #+begin_example (:value :grounding :provenance <:gate-outcome | :human-authored | :deduced | :llm-proposed> :timestamp :parent-id :policy <:singular | :dual | :plural>) #+end_example The ~:provenance~ field tracks how the fact entered the store. The ~:parent-id~ field links to the previous version in the Merkle chain — every fact has version history regardless of cardinality. **** Bootstrap from gates On skill load, scan the Dispatcher's existing data structures and produce triples: #+begin_example ;; From *dispatcher-protected-paths* (:entity ".env" :relation :member-of-class :value :secret-config-file :provenance :gate-outcome) (:entity "*id_rsa*" :relation :member-of-class :value :ssh-key-file :provenance :gate-outcome) ;; From *dispatcher-shell-blocked* (:entity "rm -rf /" :relation :classified-as :value :catastrophic-command :provenance :gate-outcome) ;; From *dispatcher-network-whitelist* (:entity "api.telegram.org" :relation :classified-as :value :trusted-domain :provenance :gate-outcome) #+end_example This produces 50-70 entity classes immediately. No LLM involvement. No human authoring. Mechanically extracted from existing code. **** Ingest gate outcomes Register a post-gate hook on the Dispatcher's rejection path. Every gate rejection produces a triple with ~:provenance :gate-outcome~. **** Query ~(fact-query &key entity relation value source-provenance)~ — pure hash-table lookup. ~30 lines. ~(fact-query-all &key relation value source-provenance)~ — returns all triples matching filter criteria. Enables "find all files classified as secrets." **** Contradiction detection — policy-driven, not policy-agnostic On every ~fact-assert~, the system checks the fact's ~entity~ class to determine its cardinality policy. Time is universal — every fact carries a ~:timestamp~ and ~:parent-id~ link regardless of policy. The policy only governs the active set: - ~:singular~: same ~(:entity :relation)~, same value → supersede (chain via ~:parent-id~). Same pair, different value at later timestamp → supersede, chain as new leaf. Same pair, different value at same timestamp → contradiction rejected, human resolves. - ~:dual~: first two values admitted as complementary, cross-referenced via ~:complement~ edge. Third value → prompt: promote to ~:plural~ or demote one? Each value has its own version chain. - ~:plural~: any value admitted. Values cross-referenced when in tension. If active count drops to 1 → collapse to ~:singular~. If active count drops to 2 and values are complementary → prompt to collapse to ~:dual~. The policy table maps entity classes to ~:singular~, ~:dual~, or ~:plural~. Gate-bootstrapped facts default to ~:singular~ (the filesystem is physically singular). New categories default to ~:plural~ (safe — never loses information). Categories for dialectical or complementary domains are explicitly ~:dual~. *** Verification — ~9 FiveAM tests 1. ~test-bootstrap-creates-facts~ — bootstrap produces correct triples from ~*dispatcher-protected-paths*~. 2. ~test-bootstrap-creates-shell-facts~ — bootstrap produces correct triples from ~*dispatcher-shell-blocked*~. 3. ~test-gate-outcome-produces-fact~ — a simulated gate rejection produces a triple with ~:provenance :gate-outcome~. 4. ~test-fact-query-returns-correct-value~ — querying by entity and relation returns the expected value plist. 5. ~test-duplicate-ingestion-idempotent~ — asserting the same fact twice does not produce a duplicate or a contradiction. 6. ~test-singular-supersedes~ — a fact with a later timestamp supersedes the old value, retained with ~:parent-id~ chain in the Merkle DAG. 7. ~test-singular-same-time-contradiction~ — contradictory fact in ~:singular~ domain at same timestamp → rejection, human resolution. 8. ~test-plural-admits-all~ — multiple values for same pair in ~:plural~ domain stores all with cross-references. 9. ~test-dual-admits-two-rejects-third~ — ~:dual~ domain admits two complementary values and rejects the third, prompting cardinality promotion. ~200 lines. New skill: ~symbolic-facts.org~. Depends on Phase 0b (auth). ** v0.16.0: Mouse Support :PROPERTIES: :ID: id-v071-mouse :CREATED: [2026-05-08 Fri] :END: Croatoan supports ncurses mouse mode via ~(setf mouse-enabled-p)~. Enable: - Scroll wheel: PageUp/PageDown equivalent, scrolls chat by viewport height - Click to position cursor in input area - Click on OSC 8 link to open in browser (via ~xdg-open~) - Click on tool invocation to toggle expand/collapse - Click on gate trace line to expand/collapse trace ~40 lines. ** v0.17.0: Phase 1a — Self-Preservation Mechanisms (~120 lines) :PROPERTIES: :ID: id-v090-phase1a :CREATED: [2026-05-09 Sat] :END: Make self-preservation active rather than architectural. The agent monitors its own integrity, quarantines failing skills, signals degradation to the user, and monitors resource pressure. The external watchdog guards the daemon process from outside the SBCL image. *** Rationale The current architecture has passive self-preservation: the self-build boundary blocks LLM-originated core modifications, memory snapshots enable rollback, and ~fboundp~ guards catch missing skills. But degradation is silent — a skill dies, the guard fires, and the agent never tells you. The status bar shows green "connected" while the symbolic reasoning layer is down. These mechanisms are small (~20-50 lines each), leverage existing infrastructure (Merkle hashes, heartbeat, the dispatcher gate stack), and transform self-preservation from a structural property into an active behavior. They implement the Third Law for Passepartout: preserve yourself against non-human threats — LLM proposals, environmental degradation, resource exhaustion — and signal to the human when you are wounded. *** Implementation **** Quarantine on skill failure — extends ~core-skills.lisp~ Track per-skill error counts in a ~*skill-error-counter*~ hash table, resetting on each heartbeat cycle. When a skill accumulates three unhandled errors within a single cycle, unload the skill, log the quarantine event, and inject a system message: "Skill 'symbolic-facts' quarantined (3 errors: consistency check nil, fact-query on missing key, Screamer timeout). Reload with /skill-reload symbolic-facts." The skill's ~defskill~ struct is flagged ~:quarantined~ and excluded from trigger resolution until explicitly reloaded. ~40 lines. **** Degraded-mode signaling — extends ~core-reason.lisp~ and TUI Maintain a ~*degraded-components*~ list populated by ~fboundp~ guards and the quarantine system. When ~think()~ assembles the system prompt, inject a DEGRADATION section: "I am operating in degraded mode. Screamer is unavailable (consistency checks disabled). VivaceGraph is unavailable (Prolog queries disabled). Core safety gates are all active." The TUI status bar renders a second line, amber-colored, when ~*degraded-components*~ is non-empty: "⚠ Degraded: Screamer, VivaceGraph. /doctor skills for details." ~30 lines across daemon and TUI. **** Resource self-monitoring — extends ~symbolic-events.lisp~ On heartbeat, check memory pressure (~sb-kernel:dynamic-usage~ against total), disk space on ~~/.cache/~ (~uiop:directory-exists-p~ + stat), and open file descriptors. When a resource crosses a critical threshold, shed non-essential skills in order of ~:preservation-priority~ (~:critical~ never shed, ~:normal~ shed after ~:low~, ~:low~ shed first). Inject a system message: "Memory critical (94% of 16GB). Unloading embedding-native (768MB), channel-discord, channel-slack. Core safety: unchanged. Essential skills retained: 18." ~50 lines. Skill shed order is determined by a new ~:preservation-priority~ slot on ~defskill~ (default ~:normal~). Core safety skills carry ~:critical~ and are never shed. Heavy skills (embedding-native with its model in memory, channel gateways with connection pools) carry ~:low~. **** External watchdog — extends ~passepartout~ bash entry point The bash script spawns a watchdog subprocess that polls the daemon port every ~WATCHDOG_TIMEOUT~ seconds (default 30). If the port stops responding, the watchdog snapshots the last known-good Merkle root, kills the stale process, and restarts the daemon with ~--snapshot ~. The watchdog is outside the SBCL image. A dead process cannot restart itself. ~25 lines of bash, no new Lisp code. *** Verification — ~6 FiveAM tests 1. ~test-quarantine-on-three-errors~ — a skill that errors three times in a single cycle is quarantined and removed from trigger resolution. 2. ~test-degraded-mode-visible~ — when Screamer is not loaded, the system prompt includes a DEGRADATION section. 3. ~test-resource-shed-low-priority~ — when memory exceeds threshold, ~:low~ priority skills are unloaded first. 4. ~test-critical-skills-never-shed~ — ~:critical~ priority skills are retained regardless of resource pressure. 5. ~test-resource-recovery-reloads~ — when resources recover below threshold for N consecutive heartbeats, shed skills are reloaded automatically. 6. ~test-quarantined-skill-relaodable~ — a quarantined skill can be reloaded via ~/skill-reload~ and passes sandbox validation before promotion. ~120 lines. Extends existing skills. Depends on Phase 0-1. ** v0.18.0: Cost Display :PROPERTIES: :ID: id-v071-cost :CREATED: [2026-05-08 Fri] :END: - ~/cost~ command: displays per-session and per-LLM-call cost breakdown - Optional sidebar cost counter: ~$0.12 this session~, updating after each ~backend-cascade-call~ - Per-provider pricing table (from v0.5.0 token economics) - Color-coded: green under daily budget, yellow approaching, red exceeding - Requires token counter infrastructure from v0.5.0. ~50 lines for display; token counting is v0.5.0 infrastructure. ** v0.19.0: Phase 2 — Screamer as Admission Gate (~200 lines, new skill) :PROPERTIES: :ID: id-v090-phase2 :CREATED: [2026-05-09 Sat] :END: Wrap Screamer (a constraint solver with non-deterministic backtracking) as a skill. Use it for consistency checking against the triple store and for deduction of new facts from existing ones. Screamer is the *verification* layer; VivaceGraph (Phase 5) is the *storage* layer. *** Rationale The "verified extraction" pattern requires a deterministic admission gate. Screamer's non-deterministic backtracking finds contradictions that simple string comparison misses. For example, if existing facts say "all config files with extension =.env= are classified as secrets," and the LLM proposes "=app.env= is not secret," Screamer finds the contradiction by substituting =app.env= into the existing rule. A naive string-keyed hash table comparison would miss this because ="app.env"= and =".env"= are different strings. Screamer also enables deduction — new facts from existing ones without any LLM involvement. If all files matching =*.env= are secrets, and =prod.env= matches =*.env=, then =prod.env= is a secret. Deduced facts carry =:provenance :deduced= and a =:derived-from= chain pointing to the facts they were derived from. *** Implementation — ~symbolic-screamer.org~ → ~symbolic-screamer.lisp~ (skill) **** Wrap Screamer Screamer is available via Quicklisp. Load at runtime via ~ql:quickload :screamer~. Not an ASDF dependency — if Screamer is not installed, the skill degrades gracefully (no consistency checking, no deduction — the fact store still functions as a hash table with provenance tracking). **** Consistency check ~(screamer-consistent-p candidate-fact existing-facts)~ — expresses the fact store as Screamer constraint variables. The candidate fact is asserted. Screamer checks solvability. Returns ~:consistent~, ~:contradiction
~, or ~:redundant~ (the fact is already implied by existing facts). Early-stage: the consistency check works on simple triples. As the fact store grows, rules of the form "all X are Y" (representing protected paths, shell patterns, class memberships) become Screamer constraints that new facts must satisfy. **** Deduction ~(screamer-deduce existing-facts)~ — Screamer finds implications of the existing fact set that are not already in the store. New facts are asserted with ~:provenance :deduced~ and a ~:derived-from~ list of source fact keys. Deduction is not run on every assertion — it is a background task triggered by heartbeat or manually. The cost is compute (Screamer exploration), not tokens. **** Admission gate ~(screamer-admit candidate-fact existing-facts)~ — wraps consistency check with the cardinality policy lookup. The policy is determined by the fact's entity class (see Phase 1: ~:singular~, ~:dual~, or ~:plural~). - ~:singular~: same value ⇒ supersede (chain via ~:parent-id~). Different value, later timestamp ⇒ supersede. Different value, same timestamp ⇒ contradiction rejected (human resolves). - ~:dual~: first two values admitted as complementary. Third rejected (prompt cardinality promotion). - ~:plural~: any value admitted with cross-references. Active count transitions trigger cardinality collapse checks. This is the function the archivist calls before any LLM-proposed fact enters the store. It is also called on human-authored facts (which override — the human can assert facts that bypass cardinality checks). It is not called on gate-outcome facts (gates are the ground truth for security ~:singular~ domains). *** Verification — ~6 FiveAM tests 1. ~test-screamer-consistency-passes~ — a fact consistent with existing triples returns ~:consistent~. 2. ~test-screamer-contradiction-detected~ — "app.env is not secret" contradicts "all *.env files are secrets" and returns ~:contradiction~. 3. ~test-screamer-redundant-detected~ — asserting a fact already implied by existing facts returns ~:redundant~. 4. ~test-screamer-deduction-produces-new-fact~ — given "all *.env files are secrets" and "prod.env matches *.env", Screamer deduces "prod.env is secret." 5. ~test-admission-gate-singular-supersedes~ — a later-timestamped value for a ~:singular~ domain fact supersedes the old value, chaining via ~:parent-id~. 6. ~test-admission-gate-dual-rejects-third~ — a ~:dual~ domain rejects the third value, prompting ~:plural~ promotion. ~200 lines. New skill: ~symbolic-screamer.org~. Depends on Phase 1 (triple store). Not an ASDF dependency — degrades gracefully. ** v0.20.0: Session Export :PROPERTIES: :ID: id-v071-export :CREATED: [2026-05-08 Fri] :END: Claude Code has ~/share~ (shareable URL). OpenCode has ~/export~ (Markdown). Hermes has trajectory export. Passepartout has no way to share what the agent did. - ~/export~ writes the current session as an Org file to ~~/memex/exports/-.org~ - Format: each message as an Org headline with role tag, timestamp, content, gate trace as property drawer - ~/export md~ outputs Markdown instead of Org (for sharing with non-Org users) - ~/export json~ outputs the session as JSON (for programmatic consumption) ~50 lines. Uses existing message vector and ~memory-object-render~ for Org formatting. ** v0.21.0: Phase 3 — Archivist as Fact Proposer (~100 lines, extends existing archivist) :PROPERTIES: :ID: id-v090-phase3 :CREATED: [2026-05-09 Sat] :END: Extend the existing archivist skill (~symbolic-archivist.org~) with a fact extraction mode. The LLM reads prose, proposes triples, and Screamer verifies them before admission. The archivist's existing Scribe (log distillation) and Gardener (link scanning) functions are unchanged. *** Rationale The archivist already walks the entire memex (the Gardener scans for broken links and orphans). Adding fact extraction reuses the same traversal infrastructure rather than duplicating it. The extraction is gated by Screamer — the LLM is a proposer, not an extractor. Facts that fail consistency checking are discarded. Facts that pass are admitted with ~:provenance :llm-proposed~ and ~:grounding~ to the source heading. *** Implementation — extends ~symbolic-archivist.org~ **** Propose from prose Given an Org heading, call the LLM with a minimal prompt (~200 tokens): #+begin_example Extract triples from this text as (:entity :relation :value ). Ground each triple to the heading. Return a list of triples. #+end_example The LLM returns structured triples via the existing JSON→plist structured output path from v0.4.2. The prompt is environment-aware: if the heading's file is in =literature/= or has =:literature:= tags, the prompt includes literature-specific relations (=:wrote=, =:published-in=, =:influenced=). If the heading is in =projects/=, the prompt includes coding-specific relations (=:depends-on=, =:tested-by=). **** Verify through Screamer Each proposed triple runs through ~(screamer-admit candidate existing-facts)~ from Phase 2. Facts admitted follow the cardinality policy of their entity class (=:singular=, =:dual=, or =:plural=). Rejected facts are discarded with a log entry. **** Provenance tracking After each extraction run, update provenance counts: #+begin_example (:total-facts 847 :gate-outcome 312 :human-authored 12 :deduced 89 :llm-proposed 434) #+end_example This is the data structure that Phase 4's sufficiency criterion reads. It is also surfaced in the TUI sidebar or ~/status~ command: "Symbolic index: 847 facts (37% from gates, 52% LLM-proposed, 10% deduced, 1% human)." **** Rebuildable Because every fact has a ~:grounding~ to an Org heading, the entire LLM-extracted subset can be discarded and re-extracted without losing gate-outcome or deduced facts. The ~(fact-purge :provenance :llm-proposed)~ function removes all LLM-proposed facts. A subsequent ~(archivist-extract-all)~ re-extracts from scratch. This is the safety net: if the LLM produces a bad extraction that passes Screamer's consistency check (possible in the early stages when the fact store has few existing facts to check against), the extraction can be redone after the fact store has grown. The cost is compute, not data. *** Verification — ~5 FiveAM tests 1. ~test-archivist-extracts-triples~ — given a known Org heading with explicit triples in the prose, the archivist produces correct triples via LLM. 2. ~test-archivist-verified-extraction~ — a hallucinated triple is rejected by the Screamer admission gate. 3. ~test-provenance-counts-update~ — after extraction, the provenance breakdown is correct. 4. ~test-purge-llm-facts~ — does not delete gate-outcome or deduced facts. 5. ~test-re-extraction-idempotent~ — re-extracting from the same prose after purging produces the same facts. ~100 lines. Extends existing archivist skill. Depends on Phase 2 (Screamer). ** v0.22.0: Tool Output Spilling :PROPERTIES: :ID: id-v081-output-spill :CREATED: [2026-05-08 Fri] :END: Claude Code saves tool results >30KB to ~/.claude/tool-results/ with a 200-line preview in the response. Passepartout currently includes all output inline — which consumes context budget and makes the chat log unreadable after a large build output or log dump. - In ~action-tool-execute~: if tool output exceeds 5,000 chars, save full output to ~~/memex/system/sessions/tool-outputs/--.txt~ - In the response, replace full output with: ~[Output: 12,847 chars. Full output saved to ~/memex/system/sessions/tool-outputs/2026-05-08-grep-a1b2c3.txt. Top 2,000 chars:]~ followed by truncated preview - The LLM can ~read-file~ the full output if it needs to analyze it ~30 lines in ~core-loop-act.lisp~ ** v0.23.0: Phase 4 — Sufficiency Criterion ("The Flip") (~50 lines) :PROPERTIES: :ID: id-v090-phase4 :CREATED: [2026-05-09 Sat] :END: Make the architecture's central narrative arc operational: a measurable threshold for when the symbolic engine has enough non-lossy facts to bypass the LLM for extraction. *** Rationale The architecture describes "at some point, the non-lossy facts constitute a sufficient foundation that the symbolic engine can reverse the flow" but provides no criterion for "some point." The sufficiency score makes the flip computable and visible to the user. *** Implementation — extends ~symbolic-facts.lisp~ **** Sufficiency score ~(fact-sufficiency-ratio)~ — returns the ratio of non-lossy facts to total facts: #+begin_src lisp (/ (+ (count-provenance :gate-outcome) (count-provenance :human-authored) (count-provenance :deduced)) (fact-total-count)) #+end_src When this ratio exceeds ~SUFFICIENCY_THRESHOLD~ (configurable env var, default 0.7), the system considers its foundation sufficient. The threshold defaults to 0.7 because below this, the majority of facts are LLM-proposed and therefore uncertain. Above 0.7, the proven foundation provides enough constraint that Screamer can reliably detect incorrect LLM proposals. **** Auto-extraction toggle When sufficiency is reached, the archivist switches from "LLM proposes, Screamer verifies" to "Screamer queries existing facts, applies category rules to the new prose, and deduces new facts directly." The LLM is bypassed for categories that have sufficient non-lossy coverage. The LLM is still used for novel categories that have no existing facts. The switch is configurable: ~AUTO_EXTRACTION_ENABLED=true/false~. When disabled, the system continues with LLM proposals regardless of sufficiency — useful for domains where extraction quality is prioritized over extraction determinism. **** Monitor The TUI sidebar or ~/status~ command displays: #+begin_example Symbolic Index Total facts: 1,247 Proven: Gate outcomes: 312 (25%) Human-authored: 47 (4%) Deduced: 521 (42%) ───────────────────────── Non-lossy: 880 (71%) LLM-proposed: 367 (29%) ───────────────────────── Sufficiency: 71% ✓ (threshold: 70%) Mode: AUTO-EXTRACTION (LLM bypassed for known categories) #+end_example *** Verification — ~3 FiveAM tests 1. ~test-sufficiency-below-threshold~ — with 30% non-lossy facts, auto-extraction is not enabled. 2. ~test-sufficiency-above-threshold~ — with 75% non-lossy facts, auto-extraction is enabled. 3. ~test-auto-extraction-produces-same-facts-as-llm-extraction~ — for a category with sufficient non-lossy coverage, auto-extraction produces facts that a subsequent LLM extraction also produces (the deterministic path is consistent with the probabilistic path). ~50 lines. Extends Phase 3 (archivist). ** v0.24.0: Read-Only Output Caching Within a Turn :PROPERTIES: :ID: id-v081-cache-turn :CREATED: [2026-05-08 Fri] :END: Claude Code caches read-only tool results within a turn. If the agent reads the same file twice, the second read returns cached content — no disk I/O, no context waste. Passepartout re-executes the tool. - ~*turn-result-cache*~ hash table keyed by ~(cons tool-name args-hash)~, cleared at the start of each ~think()~ cycle - Read-only tools (read-file, search-files, find-files, list-directory, org-find-headline, org-agenda-today, lsp-*) check the cache before executing - Cache hit: return stored result with ~[cached]~ prefix in the response - Prevents redundant tool calls when the agent asks the same question twice within a reasoning step ~25 lines in ~programming-tools.lisp~ ** v0.25.0: Skin Engine + 10 Presets :PROPERTIES: :ID: id-v072-skin-engine :CREATED: [2026-05-08 Fri] :END: - Skin format: a plist file (~~/.config/passepartout/skins/myskin.lisp~) defining: - ~:colors~ — 40+ color slots (extends the 27 theme keys): agent colors for 8 roles, status bar colors, tool colors, spinner colors, input colors, border colors. All in hex (#RRGGBB). - ~:spinner~ — style (~:braille~, ~:dots~, ~:minimal~), speed (ms/frame), kawaii faces, thinking verbs - ~:branding~ — agent name, welcome message, goodbye message, prompt symbol, help header - ~:tool-prefix~ — character for tool output lines (default ~┊~) - ~:tool-emojis~ — per-tool emoji overrides (e.g., ~(:shell "⚡" :search "🔎")~) - ~:banner~ — Rich-markup ASCII art logo displayed on startup - Skin inheritance: ~(:inherit :default)~ — missing values cascade from parent - Custom skins from ~~/.config/passepartout/skins/*.lisp~ - Hot-swap via ~/skin ~ — no restart. Skin changes take effect on next redraw (sub-frame latency). - Skin preview: ~/skin ~ with ~--preview~ flag applies temporarily; Esc or timeout reverts. - Built-in skins as plist data in a ~*skin-registry*~ hash table. ~250 lines. 10 presets organized by mood: gold, professional, minimal, forest, ocean, ember, mono, retro, unicorn, midnight. Each derived systematically from accent + background. ~200 lines. **** NOTE: Skin Presets (10+ built-in) :PROPERTIES: :ID: id-v072-skin-presets :CREATED: [2026-05-08 Fri] :END: Shipped as part of the skin engine release — the engine with 0 presets is unusable. See Skin Engine TODO above for the preset definitions. ** v0.26.0: Phase 5 — VivaceGraph + Merkle DAG + Ontology Versioning (~400 lines, new skill) :PROPERTIES: :ID: id-v090-phase5 :CREATED: [2026-05-09 Sat] :END: Replace the ephemeral hash-table triple store with VivaceGraph, a Lisp-native graph database with Prolog-like queries. Add the KG type hierarchy (PM type levels applied to the knowledge layer). Define the persistence format from the fact language that survived Phases 1-4. *** Rationale By this point, the triple fact language has been battle-tested through four phases of gate outcomes, Screamer deductions, LLM proposals, and cross-domain comparisons. The facts that proved useful define the persistent schema. The ones that weren't are left behind. The serialization format is not designed upfront; it emerges from use. The transition from ephemeral to persistent is justified when two conditions are met: (1) the fact language has stabilized (categories are being queried, not constantly refactored), and (2) accumulated deductions across sessions provide value that justifies the serialization cost. *** Implementation — ~symbolic-vivacegraph.org~ → ~symbolic-vivacegraph.lisp~ (skill) **** Wrap VivaceGraph VivaceGraph is available via Quicklisp. Load at runtime. Not an ASDF dependency. If not installed, the fact store continues as a hash table (Phase 1-4 behavior) with a log warning: "VivaceGraph not available — persistence disabled." **** Prolog-like queries Replace ~fact-query~ with graph traversals: #+begin_src lisp ;; Find all files classified as secrets (vivace-query '(:and (:entity ?e) (:member-of-class ?e :secret-file))) ;; Find all files classified as secrets that were modified today (vivace-query '(:and (:entity ?e) (:member-of-class ?e :secret-file) (:modified-since ?e ,(today-timestamp)))) ;; Find contradictions between Wikidata and the memex (vivace-query '(:and (:entity ?e) (:has-value ?e ?v1 :source :wikidata) (:has-value ?e ?v2 :source :memex) (:not-equal ?v1 ?v2))) #+end_src **** KG type hierarchy Every entity in the graph carries ~:pm-type-level~ metadata. Queries cannot return entities whose type level equals or exceeds the querying function's type level. A fact-finding query at type-level 2 cannot return facts at type-level 3 or higher. Self-referential knowledge — "this fact defines its own type" — becomes structurally impossible because the type level is assigned at creation and cannot be modified by a fact of the same or higher level. This is Contribution 1 (type-level gates) applied to the knowledge layer rather than the execution layer. The dispatcher prevents self-referential /actions/; the KG prevents self-referential /facts/. **** Persistence format The fact language that survived Phases 1-4 defines the format. Each entity is a node; each triple is an edge with properties (=:grounding=, =:provenance=, =:timestamp=). The format is not a new design — it is the triple schema evolved through use, serialized by VivaceGraph's native persistence. If the fact language later evolves to n-ary relations, VivaceGraph's graph model accommodates this natively — edges can carry arbitrary property plists. The triple form is a special case of the general graph model. **** Load on startup, save on interval On daemon start, ~(vivacegraph-load)~ reads the last saved graph. On heartbeat, ~(vivacegraph-save)~ persists the graph in its native format to ~~/.cache/passepartout/facts.vg~. The interval matches the existing ~*memory-auto-save-interval*~. The save is atomic: write to a temp file, rename on success. Corruption-safe. **** Merkle DAG version chains Each ~(:entity :relation)~ pair forms an independent Merkle chain. Facts hash over ~SHA-256(value || provenance || timestamp || parent-hash || grounding)~. The ~:parent-id~ pointer forms the chain. Tampering with any version breaks all downstream hashes. The chains form a DAG, not a single list. Facts about =.env= evolve independently from facts about Nabokov. =:dual= and =:plural= facts cross-reference via =:complement= and =:contradiction= edges but maintain independent ancestor chains. The Merkle DAG rests on the existing ~memory-object~ infrastructure from v0.2.0 — the fact store is a new occupant of existing housing. ~50 lines to bridge the fact schema into ~memory-object~ wrappers. **** Ontology versioning The category hierarchy itself is a Merkle tree. Every entity class definition hashes over its superclasses, cardinality policy, relations, and description. The aggregate hash of all active class definitions is the ~:ontology-version~ — a Merkle root of the current worldview. Every fact stores its ~:ontology-version~ at the time of assertion (a single 64-hex-char field). When categories change, the new hash flags affected facts for re-verification (Screamer re-evaluates each against the new category definitions). Re-verification outcomes are ~:survived~ (deduction still holds), ~:incoherent~ (premises don't translate under new categories, flagged for human review), or ~:reclassified~ (valid but under different classification). Queries accept an optional ~:ontology-version~ parameter. The default is ~:active~ (current worldview). Specifying a version returns facts as they were under that worldview: "Under my 2024 security model, this file was a secret. Under my 2025 model, it is an auth-secret." ~40 lines on top of VivaceGraph persistence. *** Verification — ~8 FiveAM tests 1. ~test-vivacegraph-roundtrip~ — save and load preserves all facts with provenance metadata. 2. ~test-prolog-query-returns-results~ — a query for all secret files returns the bootstrapped gate facts. 3. ~test-prolog-query-cross-domain~ — a query for contradictions between Wikidata and memex provenance returns correct results. 4. ~test-type-level-prevents-self-reference~ — a query from a type-level-2 function cannot return type-level-3 facts. 5. ~test-fact-store-fallback-without-vivacegraph~ — when VivaceGraph is not loaded, the hash-table fallback functions identically to Phase 1-4 behavior. 6. ~test-merkle-chain-tamper-detected~ — modifying a fact's value breaks the hash chain, detectable by re-walking the ~:parent-id~ spine. 7. ~test-ontology-version-query~ — querying with an old ~:ontology-version~ returns facts as they were under that worldview, not the current one. 8. ~test-reverification-flags-on-category-change~ — changing a category definition sets ~:re-verify-status :pending~ on all affected facts. ~400 lines. New skill: ~symbolic-vivacegraph.org~. Depends on Phase 4 (sufficiency). Not an ASDF dependency — degrades to hash-table fallback. ** v0.27.0: Hooks on defskill — Lifecycle Interception :PROPERTIES: :ID: id-v082-hooks :CREATED: [2026-05-08 Fri] :END: Passepartout's skills can inject instructions and react to triggers but cannot intercept behavior. All 4 competitors have lifecycle hooks (PreToolUse, PostToolUse, session events). Hooks complete the extension model: skills define *what* the agent knows; hooks define *when* skills get to inspect and veto actions. - Add ~:pre-tool-hook~ and ~:post-tool-hook~ slots to the ~defskill~ struct - ~:pre-tool-hook~ receives ~(action context)~, returns ~:allow~, ~:deny~, or ~:ask~. Called before tool execution in the Dispatcher pipeline (new vector between shell-safety and network-exfil). - ~:post-tool-hook~ receives ~(action context result)~, returns ~(values modified-result modified-context)~ or nil to leave unchanged. Called after tool execution. Useful for logging, auto-commit, notification. - ~:on-session-start~, ~:on-heartbeat~, ~:on-compact~ lifecycle hooks for maintenance skills - Hooks run in skill priority order. A ~:deny~ from any hook short-circuits the chain. ~50 lines in ~defskill~ macro + ~core-perceive.lisp~ ** v0.28.0: Phase 6 — ACL2 Structural Verification (~200 lines, new skill) :PROPERTIES: :ID: id-v090-phase6 :CREATED: [2026-05-09 Sat] :END: Wrap ACL2 as a skill. Prove structural properties of the KG type hierarchy and rule sets. Not for empirical claims. *** Rationale ACL2 is often positioned as verifying LLM-proposed facts, but many facts are empirical ("this command is destructive on Linux"), not logical. The right role: structural verification. ACL2 proves that the type hierarchy has no cycles, that the rule set is non-contradictory, and that the gate-to-fact bootstrap preserves the Dispatcher's intent. These are structural properties that can be formally verified, not empirical claims that depend on external reality. *** Implementation — ~symbolic-acl2.org~ → ~symbolic-acl2.lisp~ (skill) **** Type consistency proofs ~(acl2-verify-type-hierarchy facts)~ — prove that the KG type hierarchy has no cycles: no entity of type-level 3 depends on an entity of type-level 5, no parent category has a child that subsumes it, no category is its own ancestor via the child-of relation. These are structural properties of the graph, independent of what the facts /say/. **** Rule set consistency ~(acl2-verify-rule-consistency rules)~ — prove that the accumulated Dispatcher rules (from HITL approvals) are non-contradictory: no rule allows a command that another rule blocks, no rule permits a path access that another denies. If the rule set is contradictory, ACL2 identifies the contradictory subset with the provenance of each rule. The human resolves the contradiction. **** Extraction verification ~(acl2-verify-bootstrap-preservation)~ — prove that the gate-to-fact bootstrap (Phase 0-1) preserves the Dispatcher's intent: every blocked pattern in the gate stack maps to a fact in the store; every fact with ~:provenance :gate-outcome~ is grounded in a specific gate vector; no gate-bootstrapped fact contradicts another gate-bootstrapped fact. **** Not in scope ACL2 does not verify that ~rm -rf / is destructive. That is an empirical claim about Linux. Screamer handles empirical consistency (does this new claim contradict existing observations?). ACL2 handles structural consistency (does this reasoning structure have formal flaws?). The boundary is: empirical claims → Screamer; structural claims → ACL2. *** Verification — ~4 FiveAM tests 1. ~test-acl2-type-hierarchy-no-cycles~ — a synthetic KG with a type-level cycle is detected and reported. 2. ~test-acl2-rule-set-contradiction-detected~ — two Dispatcher rules that contradict each other produce a contradiction report with provenance. 3. ~test-acl2-bootstrap-preservation~ — the bootstrap extraction from the gate stack is verified to have no missing or extra facts. 4. ~test-acl2-not-loaded-graceful-degradation~ — when ACL2 is not installed, the skill loads but returns ":ACL2 not available — structural verification disabled" without crashing. ~200 lines. New skill: ~symbolic-acl2.org~. Depends on Phase 5 (VivaceGraph). Not an ASDF dependency — degrades gracefully. ** v0.29.0: Prompt Templates / Output Styles :PROPERTIES: :ID: id-v082-prompt-styles :CREATED: [2026-05-08 Fri] :END: Claude Code has "output styles" (~default~, ~Explanatory~, ~Learning~). Hermes has agent profiles. Passepartout has a single hardcoded system prompt. Users should be able to change *how* the agent works, not just how it looks. - Output styles are Org files in ~~/.config/passepartout/styles/~ with a plist frontmatter: ~#+STYLE: explanatory~, ~#+DESCRIPTION: Teaches while doing~ - Three built-in styles: - ~default~ — current behavior, direct and efficient - ~explanatory~ — agent explains implementation choices, provides educational insights with ~★ Insight~ blocks. Claude Code's Explanatory output style - ~learning~ — agent pauses to ask user to write small code pieces (2-10 lines), uses ~● Learn by Doing~ blocks. Claude Code's Learning output style - ~/style ~ TUI command to switch at runtime. Injects a STYLE section into the system prompt between IDENTITY and TOOLS. - Style changes are immediate (next think() call). Survive restarts via config persistence. ~100 lines (~60 prompt templates + ~40 TUI integration). ** v0.30.0: Skill Auto-Detection — File-Watch Hot-Reload :PROPERTIES: :ID: id-v082-auto-reload :CREATED: [2026-05-08 Fri] :END: Passepartout's image-based Lisp model enables hot-reload — redefine a function without restarting. No competitor has this. Claude Code plugins require manual ~/reload-plugins~. Passepartout can auto-detect changes. - Daemon watches ~org/~ and ~~/.config/passepartout/skills/~ with ~inotify~ (Linux) or ~kqueue~ (macOS). On ~.org~ file change: 1. Wait 200ms debounce (multiple writes within 200ms coalesce) 2. Tangle the changed org file: ~(org-tangle-file "org/skill-name.org")~ 3. Compile the tangled lisp: ~(compile-file "lisp/skill-name.lisp")~ 4. Reload: ~(load (compile-file-pathname "lisp/skill-name.lisp"))~ 5. TUI shows system message: ~"Skill 'skill-name' reloaded (23 defuns, 0 errors)"~ - Respects ~SELF_BUILD_MODE~ — core files require HITL before reload. Skills reload automatically. - On compile error: keep the old version loaded, log the error, show TUI warning: ~"✗ Skill 'skill-name' failed to compile — old version retained."~ ~80 lines in a new ~symbolic-file-watch.org~ skill. ** v0.31.0: Heavy Thinking Skill — Parallel Reasoning + Sequential Deliberation :PROPERTIES: :ID: id-v082-heavy-thinking :CREATED: [2026-05-08 Fri] :END: The HeavySkill paper (arXiv:2605.02396v1) demonstrates that a two-stage pipeline — K independent reasoning trajectories followed by a critical deliberation step — consistently outperforms majority voting and approaches Pass@K. The authors distill it into a readable skill file that works across any agent harness. Passepartout's Merkle tree makes this auditable, rewoundable, and cross-session comparable. - New skill: ~org/heavy-thinking.org~ — a readable skill document loaded at startup. The agent follows a defined protocol when facing complex reasoning tasks: 1. *Activation*: triggers when the complexity classifier detects a STEM/reasoning/code-generation task. Dormant for simple factual queries or casual conversation 2. *Parallel reasoning*: spawns K independent ~think()~ calls (default K=3, ~HEAVY_THINKING_WIDTH~ env var). Each call solves the same problem from scratch without access to other trajectories. Encourages diverse strategies 3. *Sequential deliberation*: a second model call reads all K trajectories (pruned to essential thinking content to stay under context budget). Critically evaluates each — not voting, but re-reasoning. Produces a synthesized final answer with a deliberation trace: "Trajectories 1,3 converged on answer X. Trajectory 2 had error Y. Synthesized answer: X." 4. *Output*: returns the synthesized answer with ~[Heavy-thinking: 3 parallel, 1 deliberate]~ annotation in the response metadata - Merkle advantage: each trajectory is stored as a content-addressed node. The deliberation trace is permanent and auditable — users can see WHY one answer was chosen - Iterative deliberation optional (capped at 2 — the paper shows iterations 3+ degrade HP@K) - Cost model: 3 parallel × 1 deliberation = 4 API calls for complex tasks (vs 1 normally). ~HEAVY_THINKING_COST_MULTIPLIER~ env var for cost-aware auto-activation ~100 lines as a skill (~60 prompt template + ~40 orchestration in ~symbolic-heavy-thinking.org~). ** v0.32.0: Adaptive Layout (3 Tiers) :PROPERTIES: :ID: id-v073-adaptive-layout :CREATED: [2026-05-08 Fri] :END: - ≥ 120 columns: Full layout. Sidebar visible with all 6 panels. Chat area left of sidebar. - 80–119 columns: Compact layout. Sidebar hidden (toggle via ~/sidebar~ or Ctrl+X+B, rendered as overlay). Status bar 2 lines. Full markdown rendering. - < 80 columns: Minimal layout. Single-column chat. Status bar reduced to 1 line (model, ctx%, duration). Markdown reduced to bold + code blocks only. Input height clamps to 1-2 lines. Re-renders on terminal resize (already handled via ~KEY_RESIZE~). Content re-flows — not truncated. The layout remembers per-terminal-size preference. ~80 lines. ** v0.33.0: Spinner Personality :PROPERTIES: :ID: id-v073-spinner :CREATED: [2026-05-08 Fri] :END: Configurable spinner style per skin: - ~:braille~ — ⠋⠙⠹⠸⠼⠴⠦⠧⠇⠏ cycling at 80ms (default) - ~:dots~ — ·✢✳✶✻✽ cycling (macOS style, Claude Code default) - ~:kawaii~ — (。◕‿◕。) (◕‿◕✿) ٩(◕‿◕。)۶ cycling with wing decorations ~⟪⚔ ... ⚔⟫~ - ~:minimal~ — single ● dot blinking at 2000ms - ~:none~ — static prompt symbol Stall indication: when no response for 10s, spinner color interpolates from theme color → error red (Claude Code pattern). Reduced motion preference: spinner replaced with slow-pulse ●. ~50 lines. ** v0.34.0: Progress Bar :PROPERTIES: :ID: id-v073-progress-bar :CREATED: [2026-05-08 Fri] :END: For measurable operations (file processing, test runs with known count, batch operations), render a progress bar using Unicode block characters: ~[████████░░░░░░░░░░░░] 42% (5/12 tests passed)~ Uses 9 block characters for sub-character precision: ~[' ', '▏', '▎', '▍', '▌', '▋', '▊', '▉', '█']~ (Claude Code pattern). Color-coded by progress: red <25%, yellow 25-75%, green 75%+. ~25 lines. ** v0.35.0: Live Timestamps :PROPERTIES: :ID: id-v073-timestamps :CREATED: [2026-05-08 Fri] :END: - Relative timestamps on messages: "just now" (< 30s), "2m ago", "1h ago", "yesterday" - Absolute timestamp on hover/focus (via Tab navigation to message) - Status bar shows session duration: ~Session: 3h 12m~ - Timestamps update live (per-minute recalculation, not per-frame) ~40 lines. ** v0.36.0: Context-Sensitive Help :PROPERTIES: :ID: id-v073-help :CREATED: [2026-05-08 Fri] :END: Press ~?~ to show available actions in current context: - In chat: list of navigation keys, command shortcuts - In sidebar: sidebar-specific bindings - In HITL prompt: approval/denial bindings - In command palette: palette navigation bindings Rendered as a dim help bar at the bottom of the screen (above input). Dismisses on any key or after 5 seconds. ~40 lines. ** v0.37.0: Phase 7 — 10-80-10 Planner (~500 lines, new skill, last phase) :PROPERTIES: :ID: id-v090-phase7 :CREATED: [2026-05-09 Sat] :END: The final neurosymbolic phase: a planning engine built on the mature symbolic index. Screamer expresses task planning as a constraint satisfaction problem. ACL2 verifies plans for structural soundness. The LLM handles the I/O boundaries (natural language → structured goal ← natural language response). The symbolic engine handles the reasoning. *** Rationale This is the culmination — it requires a populated, queried, and trusted symbolic index. The full planner is useless without a mature ontology and a proven deducer. By the time Phase 7 begins, Phases 0-6 have accumulated months of gate outcomes, Screamer deductions, verified LLM proposals, and human-authored facts. The symbolic index has achieved sufficiency. The ontology has stabilized through use. The planner is built on a foundation, not a speculation. *** Implementation — ~symbolic-planner.org~ → ~symbolic-planner.lisp~ (skill) **** Task decomposition as constraint satisfaction The user specifies a goal: "refactor the authentication module to support OAuth2." The LLM translates this to a structured goal plist. Screamer expresses the planning problem: - /Variables/: subtasks (write OAuth2 client, add token store, update auth middleware, write tests, update documentation) - /Constraints/: dependency ordering (tests depend on implementation), resource limits (one file write at a time), safety invariants (no modification of ~core-*~ files) - /Objective/: find an ordering that satisfies all constraints Screamer returns a viable plan or reports unsolvability with the conflicting constraints. **** Plan verification ACL2 proves that the plan contains no deadlocks (two subtasks waiting on each other), no dependency cycles (A depends on B depends on C depends on A), and no safety violations (no plan step requires a gate-blocked operation). If verification fails, ACL2 identifies the failing subtask and the violated constraint. The planner re-decomposes the problematic branch (the existing ROADMAP's branch pruning, v0.62.0, but symbolically rather than neurally). **** Neuro-symbolic boundary The LLM handles the I/O boundaries: - *Input* (10%): natural language → structured goal plist. "Refactor auth for OAuth2" → ~(:goal :refactor-component :target :auth-module :add-feature :oauth2)~. Small prompt, formulaic translation, ~100 tokens. - *Reasoning* (80%): Screamer plans. ACL2 verifies. VivaceGraph provides the facts about file structure, dependencies, and gate constraints. Zero LLM tokens. - *Output* (10%): structured plan → natural language response. The verified plan plist is formatted as "I'll refactor the authentication module in 5 steps: 1) Create the OAuth2 client (depends on: nothing, modifies: auth/client.lisp) 2) Add the token store..." Small prompt, formulaic translation, ~150 tokens. **** TUI visualization The plan is rendered as an Org headline tree in the TUI, with each subtask as a node showing its terminal state (=todo=, =next-action=, =in-progress=, =done=, =blocked=, =stuck=), its constraints, and its verified properties. This is the same task tree visualization planned for v0.62.0, but with the addition of Screamer constraint annotations and ACL2 verification badges. *** Verification — ~6 FiveAM tests 1. ~test-goal-plist-from-natural-language~ — natural language input produces correct structured goal plist (LLM-dependent but formulaic; tested with deterministic mock). 2. ~test-screamer-plan-satisfies-constraints~ — Screamer produces a plan that satisfies all specified dependencies and safety constraints. 3. ~test-screamer-report-unsolvable~ — Screamer reports unsolvability when constraints are contradictory. 4. ~test-acl2-verifies-plan-no-cycles~ — ACL2 verifies a valid plan has no dependency cycles. 5. ~test-acl2-rejects-cyclic-plan~ — ACL2 detects a dependency cycle in an invalid plan. 6. ~test-plan-to-natural-language~ — structured plan plist produces readable natural language output. ~500 lines. New skill: ~symbolic-planner.org~. Depends on Phase 6 (ACL2) + all prior phases. ** v0.37.1: Phase 8+ — Semantic Wikipedia Integration (TBD lines, optional acceleration) :PROPERTIES: :ID: id-v090-phase8 :CREATED: [2026-05-10 Sun] :END: Load Wikidata entities referenced in the memex into the symbolic index. Every entity the user's prose mentions gets its Wikidata property graph — type hierarchy, relations, dates, citations — as triples with ~:provenance :wikidata~. *** Rationale The gate stack provides 50-70 entity classes — adequate for a coding agent. For a general-knowledge memex containing literature, philosophy, history, science, and daily life, 50-70 is starvation. Organic growth through prose extraction (Phase 3) would take years to cover the entities mentioned in a single reading of /Pale Fire/. Wikidata has already done this work at scale. The LLM's role in extraction shrinks dramatically. Without Wikidata, the archivist must /discover/ that Nabokov wrote /Pale Fire/, lectured on Kafka, and emigrated from Russia — extracting each triple from prose. With Wikidata, the Nabokov entity is pre-structured. The archivist's job changes from "discover entities" to "connect your heading to the existing entity." *** Implementation sketch 1. *Index referenced entities.* Scan memex prose for entity names (capitalized noun phrases, names in Org links, headings in =literature/= directories). For each, attempt Wikidata entity resolution (string match, disambiguation via context). 2. *Load N-hop property net.* For each resolved entity, load its Wikidata properties: instance-of, subclass-of, authored, published-in, influenced-by, birth-date, death-date, etc. Load the same for entities directly connected to it (1-hop neighbors). Optionally expand to 2-hop for deeply connected domains. 3. *Admit with plural policy.* Wikidata facts are admitted with ~:provenance :wikidata~ and cardinality policy ~:plural~. They do not override your memex's facts. Disagreements are surfaced, not resolved. 4. *Cross-domain query.* "What does my memex say about Nabokov that Wikidata doesn't?" "Where does my memex disagree with Wikidata?" "What entities in my memex have no Wikidata counterpart?" These queries are pure VivaceGraph traversals — zero LLM tokens. *** Not a Phase 0 prerequisite Semantic Wikipedia integration is an accelerator, not a prerequisite. Phases 0-7 work without it. Wikidata compresses the timeline for the broad domain but does not change the architecture. The admission gate (Screamer), contradiction policies, provenance tracking, and neuro-symbolic boundary are identical with or without it. *** Open question How much Wikidata is the right amount? Loading entities referenced in the memex is the minimum. Loading all entities within N hops of those references expands the graph exponentially. The right N depends on the memex's breadth and the user's query patterns. A memex focused entirely on software engineering may need only 1 hop. A memex spanning literature, history, philosophy, and science may need 3-4 hops. TBD lines. New skill. Depends on Phase 5 (VivaceGraph). ** v0.38.0: Priority-Queue Signal Processing :PROPERTIES: :ID: id-v090-priority-queue :CREATED: [2026-05-08 Fri] :END: Replace the linear ~process-signal~ call chain with a priority-ordered signal queue. The queue is a sorted plist-list consumed by the main loop. Priority tiers: - ~:user-input~ / ~:chat-message~ — highest priority (the user is waiting) - ~:approval-required~ — high (HITL re-injections need quick resolution) - ~:tool-output~ — medium (feedback from tool execution, needs LLM assessment) - ~:interrupt~ — medium-high (shutdown signal) - ~:heartbeat~ / ~:cron~ / ~:delegation~ — low (background maintenance) - Coalesce duplicate heartbeats: if the queue already contains a ~:heartbeat~ signal when a new one arrives, discard the older one (no value in processing stale ticks). Keep at most one pending heartbeat at any time. - The main loop drains the highest-priority signal from the queue, processes it through the pipeline, and repeats. If the pipeline produces feedback (tool-output → think), the feedback is enqueued at its appropriate priority — it may preempt background signals but won't interrupt the current signal mid-processing. - Add telemetry: average queue depth by priority tier, max wait time per tier. - TUI ~/reconnect~ command: when the connection-loss detection from v0.3.3 fires, the user can reconnect without restarting the TUI. The command closes the stale socket, re-runs ~connect-daemon~ with its retry backoff, and restores the ~:connected~ state on success. ~80 lines in ~core-pipeline.lisp~ + ~30 lines TUI. ** v0.39.0: MVCC Memory Concurrency :PROPERTIES: :ID: id-v090-mvcc :CREATED: [2026-05-08 Fri] :END: - Replace ~*memory-store*~ (mutable global hash table) with a versioned Merkle-root pointer. The root is an ~(or null merkle-node)~ struct containing the tree and a monotonic version counter. - Read threads snapshot the root before beginning their pipeline cycle. All object lookups dereference through the snapshot — they see a consistent view of memory regardless of concurrent writes. Reads never block. - Write threads (ingest-ast, org-modify, snapshot-memory) build new object hashes, construct a new Merkle root, and CAS-replace the global root pointer. If another thread won the CAS race (root version changed), the loser re-reads the new root, replays its changes on the updated tree, and retries the CAS. - Conflict probability is near-zero because concurrent signals almost never touch the same Org headline. The replay-on-conflict path exists for correctness but is rarely exercised. Lock contention is eliminated — the only atomic operation is the CAS on the root pointer. - Remove the single-threaded pipeline assumption: previously, ~process-signal~ was safe because nothing else wrote to ~*memory-store*~ during its execution. With MVCC, multiple signals can process concurrently because each has its own snapshot. The ~*loop-interrupt-lock*~ becomes ~*signal-queue-lock*~ (protecting only the queue, not the memory). - Test: concurrent ingest-ast from two threads writing to different memory objects, verify both commits succeed without corruption. ~60 lines in ~core-memory.lisp~. ** v0.40.0: Structured Output Enforcement :PROPERTIES: :ID: id-v090-structured-output :CREATED: [2026-05-08 Fri] :END: - Add a plist validation step between ~markdown-strip~ and ~read-from-string~ in ~think()~. Before attempting to parse, validate: (a) the output starts with ~(~ or ~[~, (b) it contains balanced delimiters (count opens vs closes), (c) it doesn't contain ~#.~ (redundant after v0.3.1 ~*read-eval* nil~ but defense-in-depth). - On validation failure: construct a rejection trace (similar to the existing deterministic gate rejection feedback) and re-inject into the LLM prompt. The trace includes the raw output and a diagnostic ("Your response did not produce a valid plist. Ensure it starts with ( and has balanced parentheses."). - Configurable ~LLM_OUTPUT_RETRIES~ (default 2). After exhausting retries, fall through with the raw text as a ~:MESSAGE~ action (current behavior). - Track parse-failure rate per provider in telemetry. Use to guide provider cascade ordering: a provider with 20% parse-failure rate falls behind one with 2%. - If retries are exhausted without a parseable plist, the TUI renders the raw LLM output in a dimmed, collapsible region labeled "Parse failure — could not interpret this response." The user can inspect what the model produced. ~40 lines in ~core-reason.lisp~. ** v0.41.0: Doom-Loop Detection :PROPERTIES: :ID: id-v090-doom-loop :CREATED: [2026-05-08 Fri] :END: OpenCode detects 3 consecutive identical tool calls and prompts the user. Without this, Passepartout could loop forever on a stuck tool — burning tokens and producing no progress. - Track last 3 tool calls (name + args plist) in a ring buffer - Before executing a tool, compare against the 3 previous calls - If all 3 have the same name and equal args (using ~equalp~), inject a HITL prompt: "The agent has attempted 'grep defun' 3 times without progress. Continue or abort?" - Resets on any different tool call or successful output ~15 lines in ~core-loop-act.lisp~ ** v0.42.0: Busy-Mode — Queue on Interrupt :PROPERTIES: :ID: id-v090-busy-mode :CREATED: [2026-05-08 Fri] :END: When the agent is processing a turn and the user types a message, the current behavior is undefined. Hermes has interrupt/queue/steer. Passepartout should at minimum support queue mode. - ~BUSY_INPUT_MODE~ env var: ~interrupt~ (default, stop current turn), ~queue~ (process after current turn) - In ~queue~ mode: user messages arriving during an active turn are enqueued. When the current turn's tool chain completes, the queued message is injected as the next turn's user input — no HITL approval needed (it's user input). - ~/busy interrupt~ / ~/busy queue~ TUI commands to toggle at runtime - The priority queue (above) naturally supports this — user input queued during a turn has higher priority than heartbeats, lower than the active turn ~20 lines in ~core-pipeline.lisp~ ** v0.43.0: CLI / Non-Interactive Mode :PROPERTIES: :ID: id-v090-cli :CREATED: [2026-05-08 Fri] :END: Claude Code supports ~claude -p "fix the failing test" --print~. Hermes has ~hermes -c "command"~. Passepartout can only be used interactively via the TUI. A non-interactive single-shot mode enables CI/CD integration, cron jobs, and scripting. - ~passepartout ask "what's the status of project X?"~ — sends a framed message to the daemon, waits for response, prints to stdout - Daemon-side: ~process-one-shot~ handler — inject ~:user-input~ signal, run through full pipeline (perceive → reason → act → loop until stop), return final agent message - ~--json~ flag outputs the full response plist for programmatic consumption - ~--timeout N~ flag (default 120s) limits execution time - Uses the existing wire protocol — no new protocol, just a CLI wrapper around the framed TCP message format ~80 lines in ~passepartout~ bash script + ~50 lines daemon handler. ** v0.44.0: Provider Health Tracking :PROPERTIES: :ID: id-v090-provider-health :CREATED: [2026-05-08 Fri] :END: ~backend-cascade-call~ tries providers in order until one succeeds. On failure it moves to the next. But it has no memory of which providers failed or succeeded in the past. A degraded provider gets retried first on every call. - ~*provider-health*~ hash table: maps provider keyword to ~(:success-count :fail-count :total-latency :last-status <:ok|:degraded|:down>)~ - Updated after each ~backend-cascade-call~: increment success/fail, rolling average latency (last 10 calls) - ~provider-health-score~ function: returns a score 0-100 based on success rate (weight 0.6) and latency vs baseline (weight 0.4) - ~/provider-status~ TUI command: displays a table of all providers with status indicators (~● Up, ◐ Degraded, ○ Down~) and recent history - Telemetry: provider health data feeds the session telemetry system ~60 lines in ~neuro-provider.lisp~ + ~30 lines TUI. ** v0.45.0: Cost-Based Provider Routing :PROPERTIES: :ID: id-v090-cost-routing :CREATED: [2026-05-08 Fri] :END: ~backend-cascade-call~ currently tries providers in registration order. With cost tracking (v0.5.0) and provider health (above), the cascade can be sorted by cost-effectiveness. - ~COST_ROUTING~ env var (default ~true~): when enabled, sort the cascade by ~(provider-health-score * 0.3 + cost-savings-score * 0.7)~ - ~cost-savings-score~: cheap providers score high. Free providers (Ollama local) score 100. Expensive providers (GPT-4) score 10. - Health override: a provider with score < 20 (degraded) is demoted below healthy providers regardless of cost - ~/routing~ TUI command: displays current cascade order with scores and reasons ~40 lines in ~core-reason.lisp~ ** v0.46.0: Intelligent Provider Fallback — Per-Task-Type Routing :PROPERTIES: :ID: id-v090-intelligent-fallback :CREATED: [2026-05-08 Fri] :END: Current fallback is "try the next provider." But different providers excel at different tasks. DeepSeek is strong at code generation. Groq is fast for simple queries. Claude is better at reasoning. The cascade should adapt to the task. - ~*task-provider-scores*~ hash table: maps ~(task-type keyword) → (provider keyword → score)~ - Task types: ~:chat~ (conversation), ~:code~ (code generation/editing), ~:plan~ (multi-step planning), ~:search~ (information retrieval), ~:summary~ (compaction), ~:reflex~ (deterministic lookup) - Scores updated after each call: if the response was accepted (no rejection retry), increment that provider's score for that task type - When the primary provider fails, the fallback picks the highest-scored provider for the current task type (not just the next in line) - Bootstrap from defaults: GPT-4/Claude for reasoning, DeepSeek for code, Groq for chat, local Ollama for reflex ~60 lines in ~neuro-router.lisp~ ** v0.47.0: Autonomous Certification Badge :PROPERTIES: :ID: id-v090-certification :CREATED: [2026-05-08 Fri] :END: After N HITL approvals of the same pattern, the dispatcher auto-approves it. But unlike Claude Code's "auto mode," this is deterministic — no probability, no model hallucination granting permission. The certification is a logical certainty. - When a pattern crosses ~DISPATCHER_RULE_THRESHOLD~, the dispatcher writes the rule to ~rules.org~ AND grants a certification entry: "Certified: shell commands targeting ~/memex/projects/* with git status are deterministically safe. 47 approvals, 0 denials." - The sidebar Rules panel shows: ~[Rules: 47 | Certified: 12]~ — learned rules vs certified patterns - ~/certifications~ TUI command: lists all certified patterns with approval counts, last-used timestamps, and the gate vector that checks them - Certification downgrade: if a certified pattern is later denied by the user, the certification is revoked and the pattern returns to HITL - This is the operational realization of "the more you use it, the cheaper it gets" — each certification represents a category of actions that will never cost another HITL prompt ~60 lines in ~security-dispatcher.lisp~ + sidebar rendering reuse. ** v0.48.0: Certification Progress Bar :PROPERTIES: :ID: id-v090-cert-progress :CREATED: [2026-05-08 Fri] :END: The certification badge grants permanent auto-approval. Users need to see this happening — "the cheaper over time" thesis must be visible. - Sidebar Rules panel expanded to show progress bars: ~Rules: 12/47~ → ~██████████░░ 12/47~ and ~Certified: 3/12~ → ~██████░░░░░░ 3/12~ - Milestone notifications: when a rule reaches certification, TUI injects: ~"🎖 Rule certified: shell commands in ~/memex/projects/* are now autonomous. 47 approvals, 0 denials. /certifications to review."~ - Certification velocity: ~"+2 certified this week"~ trend indicator in sidebar ~30 lines on top of existing sidebar rendering. ** v0.49.0: Update Mechanism + Migrations :PROPERTIES: :ID: id-v090-update :CREATED: [2026-05-08 Fri] :END: No update mechanism exists. Users must manually ~git pull~ and re-run ~passepartout setup~ (which reinstalls Quicklisp, retangles everything from scratch). Claude Code has ~claude update~, Hermes has ~hermes update~. Passepartout needs an incremental update path. - ~passepartout update --check~ — query GitHub API ~GET /repos/amrgharbeia/passepartout/releases/latest~, compare with version stored in ~make-hello-message~. Report: "v0.5.1 available. 47 changes." - ~passepartout update~ (git-based) — ~git fetch --tags && git checkout v0.5.1~, incremental tangle (only org files changed since previous tag, via ~git diff --name-only v0.5.0..v0.5.1 -- org/*.org~), recompile changed lisp files, restart daemon - Migration hooks: ~~/memex/system/migrations/~ — ordered Lisp scripts run after tangle, before daemon restart. ~migrate-v051.lisp~ upgrades memory format, config schema, package names. Tracked by ~*migration-version*~ in ~~/.config/passepartout/version.lisp~ - Post-update verification: run internal eval suite, verify skill count ≥ 10, smoke test daemon port 9105. On failure: ~passepartout update --rollback~ → ~git checkout v0.5.0~ → re-tangle → restart - Binary update path (when v0.64.0 ships): download binary from GitHub Releases, verify SHA-256, replace, restart ~80 lines bash + ~50 lines Lisp. ** v0.50.0: Self-Configuration — Agent Proposes and Applies Config Changes :PROPERTIES: :ID: id-v090-self-config :CREATED: [2026-05-08 Fri] :END: Passepartout's config is text files (`.env`, `.lisp`) — the same format the agent already edits. No competitor can self-configure because their config requires runtime restart or schema validation after file write. Passepartout can edit `.env` → daemon detects change → reloads → takes effect without restart. - ~passepartout config set ~ CLI command: writes to `.env`, triggers daemon reload. ~20 lines bash. - Runtime config reload: daemon watches `.env` with ~inotify~ (reuses file-watch from v0.8.2). On change: re-reads env vars, reloads provider cascade, updates gate thresholds. No restart needed. - Config validation before write: agent verifies provider names exist (against ~neuro-explorer~ registry), ports are valid numbers, thresholds are integers, file paths are within memex. On invalid value, proposes correction. - Config change audit: every change writes to Merkle tree: "Agent changed DISPATCHER_RULE_THRESHOLD from 3 to 5. HITL approved." Gate trace records the decision. ~40 lines daemon + ~30 lines config validation. Three tiers of self-configuration: 1. **Config Query** (v0.7.2) — "What providers do I have?" → answered from system prompt CONFIG section. Already implemented. 2. **Config Suggest** (v0.50.0) — "Should I use a cheaper model?" → agent analyzes telemetry, proposes specific config change with estimated savings. User decides. 3. **Config Apply** (v0.50.0) — "Add @credentials to privacy tags" → agent proposes change → HITL review → writes `.env` → daemon reloads → change takes effect within one think() cycle. 4. **Config Optimize** (v0.50.0) — "Make yourself cheaper" → agent analyzes cost patterns across all sessions, proposes multi-key optimization. User approves full batch. ** v0.51.0: Self-Diagnosis Coach — ~/coach~ Command :PROPERTIES: :ID: id-v090-coach :CREATED: [2026-05-08 Fri] :END: Telemetry data plus the agent's self-knowledge enables coaching: the agent detects workflow anti-patterns and suggests improvements. - ~/coach~ — analyzes telemetry from the last N sessions, produces a coaching report with 3-5 actionable tips. Coaching is opt-in (privacy-respecting — no data leaves the machine). ~50 lines in telemetry skill + ~30 lines TUI rendering. ** v0.52.0: Failure Attribution — Tag Task Failures with Probable Component :PROPERTIES: :ID: id-v090-failure-attribution :CREATED: [2026-05-08 Fri] :END: AHE (arXiv:2604.25850v2) shows that evolution loops work when failures are attributed to specific harness components, not just "the task failed." Passepartout's telemetry records task outcomes but doesn't classify failures by root cause. - In telemetry skill: when a session ends with a task failure, classify as: ~:tool-failure~, ~:gate-overblock~, ~:gate-underblock~, ~:reasoning-error~, ~:context-overflow~, ~:timeout~ - Classification is deterministic: if last action was blocked by dispatcher → gate-overblock. If last action was a tool error → tool-failure. If last action was a successful tool call but wrong output → reasoning-error. - Feeds the Skill Creator (v0.58.0) — the agent knows *which* component to fix, not just *that* something went wrong ~20 lines in telemetry skill. ** v0.53.0: MCP Native Client :PROPERTIES: :ID: id-v100-mcp :CREATED: [2026-05-08 Fri] :END: - Pure Common Lisp MCP client: parse JSON-RPC messages from MCP servers over stdio or SSE. No Python bridge, no Node.js subprocess. The client runs in the same Lisp image as the agent — zero serialization overhead between the agent and the MCP layer. - Implement the MCP protocol lifecycle: initialize handshake, list tools, call tool, handle notifications. Each MCP server registers its tools as entries in Passepartout's ~*cognitive-tool-registry*~ at connection time — the LLM's tool belt prompt automatically expands to include them. - ~MCP_SERVERS~ env var: comma-separated paths to MCP server config files (JSON). Each config specifies the server command, args, and env vars. Example: =MCP_SERVERS=~/.config/passepartout/mcp/filesystem.json,~/.config/passepartout/mcp/git.json=. - Tool invocation route: LLM proposes a tool call → Dispatcher verifies against permission table → MCP client serializes call as JSON-RPC → server executes → result deserialized back to plist → returned to LLM as tool output. The Dispatcher does not distinguish between native tools and MCP tools — the gate stack is uniform. - Register the MCP client as a skill (~defskill~~:passepartout-mcp-client~) so it can be hot-reloaded. The MCP client is not core infrastructure — it is a skill that extends the tool ecosystem. ~200 lines as a new skill ~mcp-client.org~. ** v0.54.0: Web Search + Web Fetch Tools :PROPERTIES: :ID: id-v100-web :CREATED: [2026-05-08 Fri] :END: Claude Code has ~WebSearchTool~ + ~WebFetchTool~. Hermes has ~firecrawl-py~ + ~exa-py~. Passepartout's agent cannot answer questions about the world, look up documentation, or research current events. Two new cognitive tools, no external dependencies: - ~search-web~ — POST query to a search API (SearXNG public instance as default, configurable via ~WEB_SEARCH_URL~ env var). Returns title + URL + snippet for top 10 results. Dispatcher's network-exfiltration gate (vector 8) provides free safety — search queries are already vetted. - ~fetch-web~ — GET a URL, extract text content via regex-based HTML stripping (no parser dependency — strip tags, keep whitespace). Returns plain text, truncated to 10,000 chars. Dispatcher's network-exfiltration gate checks the URL domain against the allowlist. - Both register via ~def-cognitive-tool~ as read-only tools (auto-approve via v0.7.2 safe-tool allowlist) ~150 lines as a new skill ~programming-web.org~. No external Python/Node.js process. ** v0.55.0: LSP Integration :PROPERTIES: :ID: id-v100-lsp :CREATED: [2026-05-08 Fri] :END: Claude Code uses LSP for code intelligence — find definitions, find references, diagnostics, hover types. Without LSP, Passepartout can grep patterns but cannot answer "where is this function defined?" or "what calls this?" — questions Claude Code answers instantly with zero LLM tokens. - LSP client as a skill (~lsp-client.org~). Communicates with language servers via stdio JSON-RPC (same pattern as MCP client, different protocol). - Three cognitive tools: ~lsp-definition~ (go to definition), ~lsp-references~ (find references), ~lsp-diagnostics~ (get errors/warnings for file) - Read-only tools — auto-approve via v0.7.2 safe-tool allowlist - Supported languages: any language with an LSP server (TypeScript, Python, Rust, Go, C/C++, Java, etc.) — not Lisp-specific - LSP servers installed by the user (e.g., ~npm install -g typescript-language-server~). Passepartout auto-discovers installed servers via PATH. ~200 lines. Register as read-only cognitive tools. No daemon protocol changes — LSP is a background process, not a rendering concern. ** v0.56.0: ~debug-inspect~ Cognitive Tool :PROPERTIES: :ID: id-v100-debug-inspect :CREATED: [2026-05-08 Fri] :END: Lisp enables live state inspection that no TypeScript/Python agent can match. Claude Code has no REPL. Passepartout can inspect and modify its own running state. - ~debug-inspect~ cognitive tool: evaluates a Lisp form in the running image and returns the result as a structured plist. Parameters: ~code~ (Lisp form string), ~package~ (optional). - Read-only tool: auto-approve via v0.7.2 safe-tool allowlist. No side effects — inspection only. - Use cases: ~(hash-table-count *memory-store*)~, ~(inspect memory-object-by-id "node-42")~, ~(map 'list #'car *skill-registry*)~ - The agent can introspect its own state to answer meta-questions: "How many objects are in memory?" "What skills are loaded?" "What was the last HITL decision?" ~30 lines in ~programming-repl.lisp~ (extends existing repl-eval with safety guard). ** v0.57.0: Session Transcripts — ~/memex/system/sessions/~ :PROPERTIES: :ID: id-v100-transcripts :CREATED: [2026-05-08 Fri] :END: Passepartout has no session persistence beyond Merkle tree snapshots. Chat history lives in the TUI's in-memory vector and is lost on restart. Every competitor persists sessions: Claude Code uses JSONL, OpenCode uses SQLite, OpenClaw uses JSONL, Hermes uses SQLite+FTS5. - Auto-save on every message (user and agent): append to ~~/memex/system/sessions/-.org~ as an Org file - Format: each message as an Org headline with role tag (~:user:~, ~:agent:~, ~:system:~), universal timestamp, content in body. Gate trace as a property drawer under the agent message headline. - Session title derived from the first user message (first 60 chars, sanitized for filename). Override with ~/rename <title>~ - Auto-save is automatic — no ~/export~ needed. The ~/export~ command delegates to the same function with format options (Org/Markdown/JSON) - Location: ~/memex/system/sessions/~ — under ~system/~, not ~daily/~, no clutter - Survives daemon restarts. Resume via ~/resume <date-title>~ (existing session resume from v0.7.2) ~80 lines in ~core-transport.lisp~ (append on message send) + reuse existing Org rendering. ** v0.58.0: Auto-Memory Extraction — Learnings from Sessions :PROPERTIES: :ID: id-v100-auto-memory :CREATED: [2026-05-08 Fri] :END: Claude Code's ~extractMemories~ runs at the end of each query loop, scanning the conversation for durable learnings and writing them to memory files. Hermes's MemoryProvider.sync_turn does the same. Passepartout records everything in the Merkle tree but never extracts cross-session learnings. - After each ~think()~ cycle that produces a final response (no tool calls pending), run ~extract-session-memory~: a lightweight LLM call (~50 tokens of prompt) that asks "What should I remember from this session?" and writes the result to ~~/memex/system/memory/<project>/<date>.org~ - The extraction uses a forked LLM call (separate from the main response) with the session transcript as context - Auto-memory files are injected into the CONTEXT section of future ~think()~ calls as "Session memory: [learnings from prior sessions about this project]" - Extracted memories include: decisions made, patterns observed, preferences expressed, errors encountered and fixed, codebase facts learned - Opt-out via ~AUTO_MEMORY=false~ env var. Extraction frequency capped at one per minute to prevent runaway API costs. ~80 lines in ~core-reason.lisp~ + reuse session transcript for context. ** v0.59.0: Universal Cross-Project Org Query :PROPERTIES: :ID: id-v100-org-query :CREATED: [2026-05-08 Fri] :END: Passepartout's entire memex is Org — one format for memory, tasks, documents, transcripts. No competitor has this. Claude Code queries CLaude.md (one file), SQLite (separate DB), and file tools (grep). Passepartout can query everything with one function. - ~(org-query :tag "@urgent" :state "TODO" :since "-7d" :path "~/memex/projects/")~ — scans all projects in memex, returns matching Org headlines as memory objects. Zero LLM tokens, ~2ms execution. - ~(org-query :property "DEADLINE" :before "-1d")~ — overdue items. Feeds ~/agenda~ command. - ~(org-query :where "dispatch" :in-title-p t)~ — search headlines containing a term across all projects. - ~(org-query :limit 20 :sort :priority)~ — sorted, capped results. ~150 lines in ~programming-org.lisp~ (extends existing Org manipulation primitives). ** v0.60.0: Skill Creator — LLM-Drafted, Verified Skills :PROPERTIES: :ID: id-v110-skill-creator :CREATED: [2026-05-08 Fri] :END: - LLM drafts complete skill org-file from natural language description. - Mandatory pipeline: (a) syntax validation via ~lisp-syntax-validate~, (b) sandbox-load in temporary jailed package (v0.3.2), (c) run registered trigger function against mock contexts, (d) run registered deterministic gate against mock proposals, (e) on pass, promote to live registry under ~passepartout.skills.<name>~. - Required ~:repl-verified~ flag on all ~defun~ forms — the existing Dispatcher lint check warns on writes without verification. The Skill Creator enforces this at creation time. - Skills are the primary extension mechanism for users. The Skill Creator makes skill authoring accessible to non-Lisp-programmers: describe what you want in English, the LLM drafts the Org file, the system verifies it, and the skill is live. ~150 lines as a new skill ~symbolic-skill-creator.org~. ** v0.61.0: Change Manifest — Skills Ship with Falsifiable Predictions :PROPERTIES: :ID: id-v110-change-manifest :CREATED: [2026-05-08 Fri] :END: AHE (arXiv:2604.25850v2) shows that harness edits work better when each edit ships with a self-declared prediction, verified by next-round outcomes. Passepartout's Skill Creator should do the same — every new or modified skill carries predictions that telemetry verifies. - When the Skill Creator generates a skill, it also generates a ~#+PREDICTION:~ block in the Org frontmatter. - Over the next 10 sessions, telemetry compares actual outcomes against predictions. The verification result is appended to the skill file. - Disproven predictions flag the skill for review. - The change manifest persists in the skill's Org file — every skill carries its own evidence ledger. ~40 lines in Skill Creator + telemetry integration. ** v0.62.0: Long-Horizon Planning (Task Tree DAG) :PROPERTIES: :ID: id-v110-planning :CREATED: [2026-05-08 Fri] :END: - Decompose complex tasks into Org-mode headline trees. Each task node is a memory-object with terminal states: ~:todo~ → ~:next-action~ → ~:in-progress~ → ~:done~ / ~:blocked~ / ~:stuck~. - The LLM generates the initial task tree from the user's request. The REASONING tier processes each leaf task sequentially, updating node states as it progresses. - Parent nodes summarise child results: when all children of a node reach ~:done~, the parent is promoted to ~:done~ with a synthesised summary. When any child reaches ~:stuck~, the parent is promoted to ~:blocked~ with the blocking child's diagnostic. - Branch pruning: if a child is ~:stuck~ after three retries with different LLM providers, the parent re-plans the branch — the LLM generates alternative decomposition paths for the blocked sub-task. - Task trees persist as Org headlines in ~/memex/system/tasks/~. Survive restarts. Visible to the user as editable Org files. - TUI task tree visualization: a collapsible Org headline tree rendered in the chat area. Each node shows its terminal state with a colored indicator (~○~ todo, ~▶~ next-action, ~◉~ in-progress, ~✓~ done, ~✗~ blocked, ~⏸~ stuck). Nodes expand/collapse on Enter. The tree updates in real time as the agent progresses through subtasks. ~200 lines. ** v0.63.0: Tier Classifier Fix :PROPERTIES: :ID: id-v110-tier-fix :CREATED: [2026-05-08 Fri] :END: - Invert the current classifier: ~:REFLEX~ = deterministic lookups only (memory query, file-exists-p, check time, list TODOs by tag). ~:COGNITION~ = text processing, summarization, simple Q&A, note formatting. ~:REASONING~ = planning, code generation, multi-step task execution, dangerous operations. - Track classifier accuracy via telemetry: for each classified action, record whether the classification was appropriate. - The classifier function is overrideable via ~*tier-classifier*~, allowing users or skills to customize routing. - The classifier should be a skill, not core infrastructure — reloadable and replaceable without restart. ~40 lines. ** v0.64.0: SWE-Bench Harness :PROPERTIES: :ID: id-v120-swebench :CREATED: [2026-05-08 Fri] :END: - Automated pipeline: clone a repository from SWE-bench dataset, parse the GitHub issue, feed the issue description into Passepartout's cognitive loop, track the resolution trajectory as an Org headline tree, apply the generated patch, run the repository's test suite, score success (tests pass yes/no). - Trajectory persistence: each benchmark run produces an Org file under ~/memex/system/benchmarks/~ recording every ~think()~ call, every tool invocation, every Dispatcher decision, and the final test result. - Regression mode: run the same benchmark after each version release. Track score trends. A version that regresses on SWE-bench does not ship. - Target: competitive score with Claude Code and OpenClaw on SWE-bench-verified by v1.0.0. ~200 lines. ** v0.65.0: Computer Use / Vision :PROPERTIES: :ID: id-v120-vision :CREATED: [2026-05-08 Fri] :END: - Screenshot capture: X11 (~xwd~ / ~import~) and Wayland (~grim~) bridge. - Vision model integration: send screenshot to a vision-capable model (GPT-4V, Claude 3.5, Gemini 2.0 Flash). - Coordinate-based interaction: ~xdotool~ / ~ydotool~ for click and type commands. Dispatcher approval gate applies — screen interaction requires HITL by default. - Use case: "open Firefox, search for the Passepartout GitHub repo, and star it." ~100 lines. ** v0.66.0: Telemetry / Observability :PROPERTIES: :ID: id-v120-telemetry :CREATED: [2026-05-08 Fri] :END: - Structured event log as JSONL in ~~/.local/share/passepartout/telemetry/~ (one file per session + aggregate) - Event types: ~:session-start~, ~:think-call~ (tokens in/out, provider, model, duration), ~:tool-execution~ (name, duration, success/error), ~:gate-decision~ (gate name, result, pattern), ~:hitl-decision~ (approved/denied, pattern, session count), ~:context-snapshot~ (tokens used, foveal node, pruned count), ~:session-end~ (total tokens, total cost, tool calls, HITL count) - Aggregate keys tracked as a hash table: HITL approval rate, average context usage, most-blocked gate, tokens saved by foveal pruning vs full context - ~/telemetry~ TUI command: displays aggregate stats + per-session breakdown - Feeds the evaluation harness (SWE-bench trajectory data comes from the same telemetry system) ~200 lines as a new skill ~symbolic-telemetry.org~. No daemon protocol changes. ** v0.67.0: Consensus Loop :PROPERTIES: :ID: id-v130-consensus :CREATED: [2026-05-08 Fri] :END: - Multi-provider parallel inference for critical decisions. When the action's impact score exceeds a threshold, the system sends the same prompt to 2–3 independent providers. - Disagreement detection: compare structured outputs. If all providers agree, proceed with highest-confidence result. If they disagree, flag for HITL approval. - Cost-aware: consensus mode doubles/triples cost. Only trigger when impact exceeds cost threshold. Configurable via ~CONSENSUS_THRESHOLD~. - TUI consensus display: collapsible region listing each provider, its model, its proposal, and its confidence score. ~✓ 3/3 providers agree~ in green; ~✗ 2/3 agree~ in yellow. ~80 lines. ** v0.68.0: GTD Integration :PROPERTIES: :ID: id-v130-gtd :CREATED: [2026-05-08 Fri] :END: - Full GTD cycle: capture → process → clarify → organize → reflect → engage. - Org properties: ~:TRIGGER:~ (what context), ~:BLOCKER:~ (what must complete first). - Weekly review: agent scans all projects and tasks, surfaces stalled items, suggests next actions. Produced deterministically — zero LLM tokens. - TUI agenda view: ~/agenda~ command renders Org-agenda as formatted scrollable region within the chat area. ~150 lines. ** v0.69.0: Deep Emacs Integration :PROPERTIES: :ID: id-v130-emacs :CREATED: [2026-05-08 Fri] :END: - Phase II — Interpreter: ELisp compatibility layer runs inside Passepartout's Common Lisp image. Key Emacs packages (Org-mode, Magit) run natively without an Emacs process. - Org-agenda awareness: agent queries agenda view, incorporates agenda context into planning. - Clock time tracking: agent starts/stops clocks on Org headlines, produces clock tables. - Refile and archive: agent refiles headlines between Org files and archives completed items. ~300 lines. ** v0.70.0: Save-Lisp-and-Die Binary :PROPERTIES: :ID: id-v140-save-lisp :CREATED: [2026-05-08 Fri] :END: - The setup binary (~passepartout-setup~) is a ~save-lisp-and-die~ executable (~100MB: SBCL runtime + core Lisp code + native embedding inference from v0.4.0 + 23MB embedding model). No SBCL install required. No Quicklisp. No bash script. The user runs one file. - Deterministic path (default, always runs first): the same distro detection, package installation, and configuration logic from today's bash script, reimplemented in Lisp. Handles Debian and Fedora families. - LLM-assisted path (optional, activates on deterministic failure): downloads Qwen2.5-0.5B (~500MB GGUF, pinned by hash). The model classifies success/failure/recoverable-error and selects the next corrective action from a constrained decision tree. - Model hash verification: the GGUF file is pinned by SHA-256 hash. - After setup completes, the binary exits. The user runs ~passepartout daemon~ to start the full system (a live SBCL process, not a sealed binary — REPL, hot-reload, self-modification all available). - Add FiveAM test: the deterministic path succeeds on a system with all dependencies pre-installed; the LLM-assisted path correctly classifies 10 common package-manager error messages. ~200 lines Lisp + build configuration. ** v0.71.0: Channels + Providers — Match OpenClaw on Demand :PROPERTIES: :ID: id-v100-channels :CREATED: [2026-05-08 Fri] :END: The daemon protocol is client-agnostic hex-framed plists over TCP. Every new channel is a new client that speaks the same protocol. OpenClaw's 23+ channels are trivially copyable — each platform needs a poll loop + send function, ~30 lines each. LLM providers are a row in ~*provider-cascade*~ — a new entry in ~neuro-provider.lisp~ with API endpoint + token pricing. Neither deserves its own release. - Channels: match OpenClaw's 23+ channels on demand. The Emacs bridge (already done, v0.4.0) proves the pattern. Each new platform (WhatsApp, iMessage, Matrix, IRC, etc.) is a skill that registers a poll-fn + send-fn. ~30 lines per channel. - Providers: match OpenClaw/Hermes on provider count. Adding a new provider is a table entry in ~neuro-provider.lisp~: name, API endpoint, model list, pricing. ~20 lines per provider. - Voice: STT + TTS are REST wrappers (~whisper~ / ~elevenlabs~ / ~espeak~). Already spec'd as a skill. ~50 lines. No separate releases. Done when needed, shipped when ready. ** v0.72.0: Lish Shell - plist-returning commands: ~(ls :path "~/memex/projects/")~ → structured result - Pipe as function composition: ~(pipe (ls ...) (filter :state 'TODO))~ - Org-buffer output: shell output rendered as Org headlines - External bash compatibility: ~(bash "npm run build")~ → plist with exit code, stdout, stderr ~500 lines CL. Useful immediately for the agent. ** v0.73.0: Buffer-as-CLOS Prototype - buffer class: source (file path or Org AST), content, cursor, marks, overlays - Key editing primitives: insert, delete, move, search, replace - Org-AST-backed: editing mutates the AST, text rendering is a view ~300 lines CL. No display dependency. ** v0.74.0: EQL5 Feasibility - Add EQL5 to Quicklisp dependencies (optional, like croatoan) - Compile and verify on Linux (primary target) - Single QML window: "Passepartout" title, 800x600, dark background - Verify event loop integration with SBCL threads ~100 lines QML + build config. ** v0.75.0: EQL5 TCP Client - QML window with terminal widget, input area, status bar - Connects to daemon via existing framed TCP protocol - Renders agent responses, gate trace, sidebar panels as QML components - Lives alongside croatoan TUI (two clients, one daemon) ~300 lines QML + ~200 lines CL. ** v0.76.0: Minibuffer Prototype - Universal command line at bottom of Qt window - /chat /edit /shell /eval dispatch - Goes through same gate stack as agent actions ~200 lines CL. * v1.0.0: Neurosymbolic Maturity v1.0.0 is where the agent achieves symbolic-first reasoning in the 10-80-10 architecture. The probabilistic engine (LLM) handles 10% input translation and 10% output formatting. The symbolic engine (VivaceGraph + Screamer + ACL2) handles 80% of reasoning — task planning, fact retrieval, constraint solving, and formal verification. Zero LLM tokens for the reasoning core. Hallucination becomes structurally impossible because the symbolic engine will not accept a fact that contradicts its knowledge graph. Safety becomes provable because ACL2 can prove properties about the system's behavior. Self-improvement becomes stable because the agent modifies skills that are then verified before execution. The system is benchmarked against SWE-bench (competitive score with Claude Code and OpenClaw), verified under concurrent load (MVCC from v0.39.0), and validated by the eval harness (v0.9.0). The 10-80-10 planner operates on a mature symbolic index seeded from months of gate outcomes, Screamer deductions, LLM-proposed facts with provenance, and human-authored facts. The TUI at v1.0.0 is competitive: streaming responses, gate trace visualization, sidebar with 10 panels, skin system with 10+ presets, adaptive layout, full markdown, mouse support, spinner personality, and progress bars. The sidebar's gate trace, focus map, rule counter, sufficiency score, and provenance breakdown are capabilities no competitor can replicate — Passepartout's permanent UX differentiator. v1.0.0 is the brain at maturity. The symbolic engine reasons. The probabilistic engine translates. The gate stack verifies. The Merkle tree preserves provenance. The eval harness guards against regression.