ragwatcher
Local RAG over a directory, served as an MCP tool plus CLI, with incremental indexing, zero-config defaults, and offline CPU-only operation.
README
ragwatcher
Local RAG over a directory. Incremental. Served as MCP tool + CLI.
- Zero-config default (drops into
~/notes, works). - Offline, CPU-only baseline (FastEmbed ONNX). GPU / API models opt-in.
- CLI is a peer to the MCP server, not a wrapper.
Install
uv tool install ragwatcher
# or
pipx install ragwatcher
Optional extras: [lance] (LanceDB store), [pdf-pro] (pymupdf), [remote] (qdrant/openai/cohere).
Usage
ragwatcher serve ~/notes # MCP server (stdio)
ragwatcher index ~/notes # one-shot sync
ragwatcher query ~/notes "what is X" # one-shot query
ragwatcher stats ~/notes # index summary
ragwatcher doctor ~/notes # health check
ragwatcher purge ~/notes --yes # wipe .rag_index/
Every data-producing command supports --json for scripting.
Configuration
Precedence (low → high): defaults → $XDG_CONFIG_HOME/ragwatcher/config.toml → <DIR>/.ragwatcher.toml → RAGWATCHER_* env vars → CLI flags.
See SPEC.md § 5 for the full schema.
Development
uv sync --extra dev
uv run pytest -q --ignore=tests/integration
uv run ruff check src tests
uv run mypy src
Integration tests (real embed model, ~3s):
uv run pytest tests/integration -m slow
License
MIT
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