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- system-context-manager (new skill): stack-based project focusing with push-context/pop-context, path resolution relative to base path, and scope-aware memory queries via context-scoped-query. - core-memory: add :scope slot to memory-object struct (default :memex). - core-memory: ingest-ast accepts &key (scope :memex), propagates to children. - core-context: context-query accepts :scope parameter for filtering. - DEFECT FIX: renamed org-object-* accessors to memory-object-* across core-context, security-dispatcher, tests, and defpackage exports. The struct was renamed but accessor references were never updated — the code referenced nonexistent functions.
Passepartout — Your Autonomous, Plain-Text Life Assistant
- Quick Start
- Why Passepartout
- Your data stays yours.** No database, no vector store, no cloud silo. Your entire memory is a folder of Org files. You can read them with any text editor, search them with grep, and back them up however you like. If Passepartout stops existing, your data doesn't disappear.
- The LLM can't do damage.** Every action the LLM proposes passes through a deterministic safety gate before it touches a file, runs a command, or sends a message. The LLM suggests; the gate decides. Hallucinations are blocked, not corrected after the fact.
- Runs on your hardware.** Works fully offline with Ollama and local models. Cloud providers (OpenRouter, OpenAI, Anthropic, Groq, Gemini, DeepSeek, NVIDIA NIM) are optional add-ons.
- Written in Common Lisp.** Code is data. The agent reads its own source the same way it reads a text file — it parses, modifies, and hot-reloads its skills without restarting. One language from the kernel to the TUI to the build system.
- Architecture
- Project Documentation
- License
Passepartout is an AI assistant that runs in your terminal, reads and writes your Org-mode files, executes tasks through a verified safety gate, and works fully offline with local LLMs. Everything it knows is a folder of plain text files that you own.
One-line install:
curl -fsSL https://raw.githubusercontent.com/amrgharbeia/opencortex/main/passepartout | bash -s configure
Then passepartout tui to start chatting.
Quick Start
You need SBCL (Common Lisp), git, and curl.
git clone https://github.com/amrgharbeia/opencortex.git ~/projects/passepartout
cd ~/projects/passepartout
./passepartout configure # install deps, tangle, setup wizard
passepartout tui # launch the terminal interface
See User Manual for the full guide.
Why Passepartout
Your data stays yours.** No database, no vector store, no cloud silo. Your entire memory is a folder of Org files. You can read them with any text editor, search them with grep, and back them up however you like. If Passepartout stops existing, your data doesn't disappear.
The LLM can't do damage.** Every action the LLM proposes passes through a deterministic safety gate before it touches a file, runs a command, or sends a message. The LLM suggests; the gate decides. Hallucinations are blocked, not corrected after the fact.
Runs on your hardware.** Works fully offline with Ollama and local models. Cloud providers (OpenRouter, OpenAI, Anthropic, Groq, Gemini, DeepSeek, NVIDIA NIM) are optional add-ons.
Written in Common Lisp.** Code is data. The agent reads its own source the same way it reads a text file — it parses, modifies, and hot-reloads its skills without restarting. One language from the kernel to the TUI to the build system.
Architecture
- Metabolic Loop — Perceive → Reason → Act, the fundamental cognitive cycle
- Dispatcher — 9-vector safety gate: secret scanning, path protection, shell safety, lisp validation, network exfiltration, privacy filtering
- Memory — Single-address-space object store with Merkle-tree integrity and snapshot rollback
- Skill Engine — 20 hot-reloadable skills loaded at boot, each an independent Org file
- TUI — Croatoan-based terminal interface connected via framed TCP protocol
- LLM Routing — Cascade dispatch through multiple providers with tier-based model selection
Project Documentation
| Document | Answers |
|---|---|
| User Manual | How do I use it? |
| Architecture | How does it work inside? |
| Design Decisions | Why was it built this way? |
| Roadmap | Where is it going? When? |
| TODO | Who is doing what? |
| Contributing | How do I contribute? |
License
Passepartout is released under the AGPLv3 license. See CLA.org for the Contributor License Agreement.
Languages
Shell
67.5%
Emacs Lisp
19.1%
Common Lisp
9.6%
C
2.2%
Dockerfile
1.6%