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rtfm

rtfm

Active·★ 12·MIT·Updated 2026-05-25

★ Trending★ RAG / Knowledge Base

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.

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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ARIS ⚔️ (Auto-Research-In-Sleep) — Claude Code skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation via Codex MCP

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See all alternatives →

Related searches

rtfm Alternatives Best RAG / Knowledge Base Tools 2026 Open Source RAG / Knowledge Base rtfm Tutorial rtfm Vs Competitors ai-agents claude claude-code

Comments

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J
Justice HarrisMay 22, 2026
Good for knowledge-intensive AI workflows that need to search across diverse content types.
L
Logan JohnsonApr 8, 2026
RTFM naming is accurate — it gives agents access to the manuals they should be reading.
S
Sage KimMar 17, 2026
Open retrieval layer for AI coding agents — code, docs, legal, and research indexed.
C
Cameron GarciaFeb 27, 2026
Unified retrieval across content types is more useful than separate search tools.

On this page

01Features 02Compatibility 03Quick start 04Use cases 05Alternatives

Stats

GitHub Stars★ 12

Last commit5d ago

StatusActive

LicenseMIT

CategoryRAG / Knowledge Base

Trend (30d)

+0.4↑ 0.7%

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