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Ratel

golddream-ygolddream-y107 downloads

AI assistant for your notes—chat with your vault, semantic search with citations, multi-step research and safe edits. Works with DeepSeek, Claude, and Ollama. Local embeddings, no telemetry.

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  • Updates17

English | 简体中文

The graph-native AI agent for your vault.

Chat, research, and act on your linked notes. Ask what you wrote about a topic; have Ratel pull sources into a draft. Answers cite notes you can open in one click.


Why Ratel

  • Graph-native — built for linked notes, not generic chat over files
  • Fusion retrieval — semantic + keyword multi-way recall, automatically pulling in linked related notes; numbered citations open in one click
  • Highly extensible — built-in skills & subagents, plus MCP servers (HTTP or stdio) to plug in web search and other external tools
  • Deeply customizable — swap chat / embedding / rerank models, override any prompt section, choose your MCP ecosystem
  • Private & safe by default — local embeddings; network only to your configured model API and the MCP servers you add; every vault edit asks your approval first

Install

Obsidian → Settings → Community plugins → Browse → search Ratel → Install → Enable.

Requires Obsidian 1.13.0+, desktop only.

Then: open Settings → Ratel → Chat model, pick a scene preset (DeepSeek / Ollama) or custom Base → wait for the first index → click the 🦡 ribbon (or run Ratel: Ask vault).

Full walkthrough: User Guide.


What you can do

Ask with citations
“What did I write about performance tuning?” — numbered [1][2] sources, click to jump.

Multi-step work
“Pull product-planning notes into a background doc” — search, read, synthesize, write (with confirmation before edits).

Know the room
Every turn injects local time. “Summarize this note” uses the active file. Daily note path, recent edits, and outlines are first-class tools.

Remember & extend
Say “remember I prefer Tailwind…” — stored as Markdown under .ratel/memory/. Drop a SKILL.md into .ratel/skills/ to teach new workflows, or attach an MCP server (Tavily, Brave…) to give the agent web search and other external tools.


Privacy

  • Index and default embeddings stay on your machine
  • Network access: by default only the model API you set (DeepSeek / Claude / Ollama)
  • MCP servers: only the MCP endpoints you explicitly add in settings receive requests; each tool call asks your approval by default
  • No analytics, no phone-home

Docs

Doc Contents
User Guide Setup, scenarios, slash commands, FAQ
Changelog Full release history (ranges OK for patch bursts)
Architecture Ports, agent loop, tools, workers

Issues & ideas: GitHub Issues.


License

Apache-2.0

HealthExcellent
ReviewCaution
About
Ratel turns your vault into a workspace you can talk to. Ask questions and get answers with numbered citations you can open in one click. Give it a multi-step job—"pull my product notes into a briefing doc"—and it searches, reads, synthesizes, and writes, asking before it changes anything. What makes it different: • Graph-native: built for linked notes—every answer grounds in your vault and cites its sources. • Private by design: indexing and embeddings run locally by default; network traffic goes only to the AI provider you configure. No telemetry. • Your model, your keys: DeepSeek, Claude, or fully offline with Ollama. Keys live in the system keychain. • You stay in control: per-tool permissions, confirmation before edits, status and diagnostics built in. • It grows with you: it remembers your preferences and learns new workflows from simple Markdown skills. Start in two minutes: pick a model preset, let the first index finish, and ask what you wrote about anything.
AIResearchLanguages
Details
Current version
0.1.17
Last updated
12 hours ago
Created
2 months ago
Updates
17 releases
Downloads
107
Compatible with
Obsidian 1.13.0+
Platforms
Desktop only
License
Apache-2.0
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Sponsor
Support
Author
golddream-ygolddream-ygolddream-y
GitHubgolddream-y
  1. Community
  2. Plugins
  3. AI
  4. Ratel

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