jragmunch 0.3.0

Maximal token-efficient RAG for headless Claude. Uses your existing claude CLI; auth-agnostic; slice-level retrieval.

jragmunch-cli

Maximal token-efficient RAG for headless Claude. Uses your existing claude CLI; auth-agnostic; slice-level retrieval powered by jcodemunch-mcp.

Why

Headless Claude (claude -p) is the right substrate for code automation — CI bots, batch refactors, fan-out agents, internal "chat with your repo" services. The default pattern is "stuff the relevant files into the prompt and pray," which burns tokens on code the model never needed.

jragmunch wraps claude -p with jcodemunch pre-wired so the model retrieves slices on demand instead of receiving giant context dumps.

Install

pip install jragmunch
jragmunch doctor

Requires the claude CLI on PATH (npm install -g @anthropic-ai/claude-code) and jcodemunch-mcp registered as an MCP server.

Usage

jragmunch ask "how does auth work in this repo"
jragmunch ask "what does AuthMiddleware.verify do" --json
jragmunch index --repo .
jragmunch run "Refactor the rate-limiter to use a token bucket"

Verbs (v0.1)

Verb	Status	Purpose
doctor	shipped	Verify claude + MCP wiring
ask	shipped	Retrieval-augmented Q&A
index	shipped	Index a repo via jcodemunch
run	shipped	Power-user prompt passthrough
review	shipped	Diff-aware PR review
changelog	shipped	Summarize changes since tag
refactor	shipped	Fan-out batch refactor
tests	shipped	Generate tests for untested symbols
sweep	shipped	Pattern-driven cleanup

See PRD.md for the full product spec.

Principles

• Auth-agnostic. Whatever auth the local claude binary uses, jragmunch uses.
• Slice, don't dump. Default behavior is jcodemunch retrieval.
• Structured output. Every verb returns JSON with citations and _meta (tokens, cost, wall time).
• Composable. --print-command shows the exact claude -p invocation that would run.

License

Apache 2.0