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archon-memory

Ingest project documentation into Archon RAG sources with MD5 hashing.

Updated Apr 12, 2026
Search Tags:#documentation#rag#sync#archon#semantic-search#knowledge-base#ingest
One-click install
npx skills add https://github.com/trezero/archon-trinity --skill archon-memory
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: archon-memory
Source: https://github.com/trezero/archon-trinity/tree/main/integrations/claude-code/extensions/archon-memory
Command: npx skills add https://github.com/trezero/archon-trinity --skill archon-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill bridges a Claude Code assistant with an Archon RAG knowledge base to capture, index, and share long-term project documentation so assistants and teams can retrieve deep project context beyond ephemeral local memory.

Core Features & Use Cases

  • Project ingestion: discover README, docs/, and CLAUDE.md, read files in safe chunks, compute MD5 hashes, and ingest documents into Archon as inline RAG sources.
  • Sync and freshness checks: detect modified, added, or removed files, perform delete-and-readd syncs, poll ingestion progress, and update per-project state for reproducible updates.
  • Semantic search & shared knowledge: run project-scoped and cross-project semantic searches, add URL or local shared sources, and list shared knowledge across an ecosystem.
  • Task and project management: list, create, and update Archon tasks and query project metadata to coordinate multi-agent work.
  • Use case: Ingest a repo's docs, confirm indexing with a test query, keep .claude/archon-state.json current, and let multiple agents leverage the same knowledge base.

Quick Start

Use the archon-memory skill to ingest this project's documentation into Archon and then run a status check to verify indexing.

Frequently Asked Questions about archon-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I ingest project documentation into a RAG knowledge base?▼

To ingest project documentation into a RAG knowledge base, you can discover README, docs/, and CLAUDE.md files, read them in safe chunks, compute MD5 hashes, and ingest them as inline RAG sources.

How does semantic search work across multiple project documentation sets?▼

Semantic search across multiple project documentation sets works by running project-scoped or cross-project queries against an Archon RAG knowledge base to retrieve deep project context beyond local memory.

What is the best way to sync documentation files with a knowledge base?▼

The best way to sync documentation files with a knowledge base is to detect modified, added, or removed files, perform delete-and-readd syncs, poll ingestion progress, and update state files for reproducible updates.

Can I manage shared knowledge sources for multi-agent project work?▼

You can manage shared knowledge sources for multi-agent work by adding URL or local shared sources, listing shared knowledge across an ecosystem, and coordinating Archon tasks across agents using the same knowledge base.

Do I need a state file to track documentation indexing progress?▼

You need a state file like .claude/archon-state.json to track documentation indexing progress, verify reproducible ingestion, and keep project knowledge sources current during syncs.

Why does my project documentation ingestion require chunked reading?▼

Project documentation ingestion requires chunked reading with line limits to safely process large files, compute MD5 hashes for verification, and ensure reproducible RAG source creation.

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