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rtfm
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rtfm

Active·★ 25·MIT·Updated 2026-10-18

RTFM is a local, open-source retrieval layer that indexes everything in a project (code, docs, PDFs, etc.) so that AI agents can find the right context instantly without hallucinations or cloud costs. It integrates with Claude Code and other MCP clients, supports multiple formats, and provides fast search with progressive disclosure.

#ai-agents#claude#claude-code#code-search#context-engineering#developer-tools#embeddings#fts
$ Install
$ pip install rtfm-ai && cd your-project && rtfm init
↗ Visit site★ GitHub
01

Features

01Full-text, semantic, and hybrid search with progressive disclosure
02Multi-format indexing with 22 built-in parsers (code, docs, PDFs, etc.)
03Local, free, and open-source (MIT license)
04Knowledge graph with wikilinks and import edges, plus version history
05Seamless MCP integration (native Claude Code plugin and manual install)
02

Compatibility

Python
Python 3.10+
Verified via docs
Claude Code
Claude Code Plugin
Verified via docs
Linux
Linux
Verified via docs
macOS
macOS
Verified via docs
Windows
Windows (incl. WSL)
Verified via docs
03

Quick start

1
$ pip install rtfm-ai
2
$ cd your-project
3
$ rtfm init
04

Use cases

↳Legal and regulatory document retrieval with support for specialized formats
↳Research projects combining code, papers, and datasets
↳Any project mixing code with domain-specific documents (FinTech, HealthTech, etc.)
05

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
roomi-fields /
rtfm
↗

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 22 parsers (incl. EPUB, DOCX, ODT), FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free.

25MIT
Last commit5d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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