shlokkhemani/rabbithole

An infinite canvas for learning — select text, ask, and answers branch out as documents. MCP server for Claude Code, Codex, and any agent.

About rabbithole

An infinite canvas for learning. Open a document, select any text, ask a question — and the answer opens as a fully-rendered child document. Recurse as deep as you like. Every hole is saved and revisitable.

Rabbithole has two ways in: a local MCP server for terminal agents, and a static browser app for humans who want to bring their own model key. In the MCP path, your agent (Claude Code, Codex, or any MCP client) does the answering and Rabbithole gives it a canvas in your browser. Everything in that path runs locally: no account, no API keys, nothing leaves your machine.

Open rabbithole.ing for the browser app: bring your own key, choose OpenRouter (recommended), Anthropic, OpenAI, or a local OpenAI-compatible endpoint, and start from pasted markdown, PDFs, URLs, or .rabbithole files. Provider keys stay in your browser and are sent only to the provider origin you configure. Holes persist in IndexedDB, so the app keeps working offline-ish after it loads, and .rabbithole export/import keeps your work portable.

Self-hosting is static: web/dist can be served by any host. The optional workers/fetch-proxy Cloudflare Worker enables URL ingestion for sources that block browser CORS.

Requires Node 18+ and a browser. Pick your agent:

Claude Code's default stdio MCP timeout is already long enough for Rabbithole's blocking wait. If you manage .mcp.json manually, this optional per-server field is also fine:

From the project README.

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