cc3976fb7f
- Split competitive-analysis-2026-05.org → TOC + 9 competitor files in ideas/competitors/. Dropped date from filename. All competitor UUIDs generated, TOC keeps original UUID for backlink continuity. - Deleted passepartout-economics.org archive (replaced by 27-node KB). - Inlined 5 'See also' blocks into natural prose (compliance-index, first-mover-window, revenue-table, orders-of-magnitude-time, native-org-knowledge-base). - Linked 7 orphan compliance pages back to compliance index + finished truncated sentences. - Linked all 14 Agora requirement docs from topic-relevant pages (identity→lisp-machine-security, infrastructure→compute-marketplace, social-space→growth-strategy, exchange→agora-contracts, etc.). - Linked ai-industry-impact from investment-thesis, sufficiency-flip, verification-appliance, effects-growth-flywheel (up from 1 to 10+ pages). - Fixed CREATED timestamps to use git commit dates instead of today. - Made all links absolute from root (no port inheritance). - Removed stale agora/docs/ duplicate content.
23 lines
1.7 KiB
Org Mode
23 lines
1.7 KiB
Org Mode
:PROPERTIES:
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:ID: c652688a-1ea0-487c-9222-00e954efe8a1
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:CREATED: [2026-05-22 Thu]
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:END:
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#+title: Hermes Agent — Personal AI Assistant
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#+filetags: :passepartout:strategy:competitive:hermes:
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The agent running this conversation. Python, ~17K core lines, MIT.
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Architecture: Synchronous conversation loop with OpenAI-format messages. 60+ built-in tools. 109+ providers via pluggable transport layer. 15+ messaging platforms via gateway. MCP client (native, not bridge). Ink/React TUI as Node.js subprocess. Cron jobs, Kanban board, subagent delegation.
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Safety model: Multi-layer but NOT a deterministic gate stack: message sanitization, Tirith binary scanner, command approval system, memory injection detection, secret/PII redaction, tool call guardrails, MCP security, context fencing. All heuristic or prompt-based — no structural type-level gates.
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Data model: SQLite session DB (FTS5 full-text search). File-based memory (MEMORY.md + USER.md). YAML config. No knowledge graph. No Org-mode.
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Self-modification: Skill system writes SKILL.md files. Memory tool edits MEMORY.md/USER.md. Core Python code is read-only in execution but no gate specifically prevents the LLM from requesting source modifications.
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Verification: None.
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Key gap vs Passepartout: No deterministic gate stack (heuristic layers, not structural/typed), no knowledge graph, no Org-mode, no neurosymbolic architecture, no self-verification, no proof system. Hermes's strength is breadth — 109 providers, 15 platforms, MCP ecosystem. But it has no depth in safety, knowledge representation, or reasoning architecture.
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See the full [[id:3aa22300-2f25-57b0-8787-9f199cc978b1][competitive analysis]] for the landscape view and comparison.
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