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rag-rat

CI codecov crates.io benchmarks

What a repository knows about itself. rag-rat is a local repo-intelligence index and MCP server for coding agents. It keeps source files read-only, writes only its own SQLite database, and answers with provenance on every result — current source, the code graph, git/GitHub history, and durable, source-anchored repo memories that persist across sessions and agents.

Every harness already has grep and read. rag-rat is the layer they can't be: it carries the rationale — the invariants, decisions, and risks bound to the code you're touching — and labels every hit with confidence and coverage so you can judge it instead of trusting it.

sequenceDiagram
    participant Repo as Repository
    participant Engine as rag-rat engine
    participant Agent as Coding agent

    Repo->>Engine: Source · git/GitHub · repo memories
    Engine->>Engine: Index → graph → (opt) SCIP oracle → reconcile
    Agent->>Engine: where / why / who-calls / impact?
    Engine-->>Agent: source + call paths + papertrail + memories (with provenance)
    Agent->>Engine: record a finding
    Engine->>Repo: persist a source-anchored repo memory
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Why

  • Provenance, not guesses. Every result carries a confidence label, coverage warnings, and the raw evidence — so a partial index or an ambiguous edge reads as exactly that.
  • Repo memories. Typed, source-anchored notes (Invariant, Decision, Risk, …) that survive refactors and surface automatically during future queries — the signal grep can't give you.
  • A real code graph. tree-sitter callers/callees/imports across Rust, TypeScript/TSX, Kotlin, C/C++ — with an optional compiler-grade SCIP oracle that upgrades edges to Compiler confidence and ranks the load-bearing symbols.
  • History as evidence. Git history, lazy chunk blame, and cached GitHub issue/PR/review rationale, all queryable.
  • Rides your existing grep. A PreToolUse hook injects the memories and symbols behind whatever you just searched for.

Install

cargo install rag-rat              # from crates.io (FastEmbed included by default)

From a checkout:

cargo install --path crates/rag-rat-cli --bin rag-rat

Add --no-default-features for a smaller hash-only build without real embeddings. rag-rat links against the system SQLite via rusqlite.

Quickstart

From the repository you want to index:

cd /path/to/your/repo
rag-rat init

init scans the repo, prompts for languages and path bindings, writes rag-rat.toml, indexes, offers to install the local embedding model, and can register the MCP server and git hooks. Preview without writing anything with rag-rat init --dry-run; --yes runs the non-interactive defaults.

Manual setup and every config knob live in docs/config.md.

Connect it to your agent (MCP)

The MCP server is STDIO — the client launches rag-rat as a child process. rag-rat init is the recommended path: it registers the server per project (claude mcp add --scope project / codex mcp add), so each repo gets its own index.

To wire it up by hand, register a project-scoped server that runs in the repo directory:

claude mcp add --scope project rag-rat -- rag-rat mcp

or a project .mcp.json / equivalent:

{
  "mcpServers": {
    "rag-rat": { "command": "rag-rat", "args": ["mcp"] }
  }
}

Don't pin a single global server to one repo's config. A user-scoped server with a hardcoded --config /some/repo/rag-rat.toml serves that repo's index and memories everywhere — so browsing a different codebase loads the wrong context. Register the server per project and let it resolve rag-rat.toml from the repo it runs in. (--config <path> still exists for the rare case you need to point at a specific profile.)

Pass rag-rat mcp --json if your client must parse tool text as JSON (results are TOON by default). Full tool schemas: docs/mcp-tools.md.

The tools

The highest-leverage ones (full catalog + JSON schemas in docs/mcp-tools.md):

  • semantic_search — hybrid BM25 + vector recall over source/docs, validated against current source. Every hit reports retrieval_mode; explain=true breaks down the score.
  • symbol_lookup — exact/fuzzy symbol resolution; cfg/overload duplicates grouped as one logical symbol.
  • find_callers / trace_callees — reverse/forward graph traversal (low-signal std/macro noise filtered by default).
  • impact_surface — the coding preflight: callers, callees, tests, git history, GitHub papertrail, and repo memories for a symbol in one call.
  • important_symbols — load-bearing symbols by (SCIP-aware) PageRank; see docs/oracle.md.
  • repo_brief / repo_clusters — orientation: spine / churn / god-modules / ownership clusters.
  • read_chunk — current text for a chunk with anchor validation.
  • Git/GitHub: commit_search, git_history_for_path|symbol, git_blame_chunk, papertrail_for_*, rationale_search.
  • Memories: memory_create, memory_update, memory_search, memory_for_symbol|path|call_path, memory_validate, memory_mark_obsolete.

Repo memories

Repo memories are first-class local evidence — not chat memory. They are typed (Invariant, Decision, RejectedAlternative, Risk, BugPattern, PerformanceNote, …) and source-anchored: bound to a logical symbol, concrete symbol, chunk, path+span, graph edge, call-path, commit, or GitHub ref. rag-rat tracks each anchor as current, relocated, stale, gone, or unverified, and surfaces matching memories through the memory_* tools and inline in read_chunk, symbol_lookup, find_callers, trace_callees, and impact_surface. They're how hard-won context reaches the next agent in one call instead of evaporating.

Compiler-grade resolution & ranking

The graph is heuristic by default. The opt-in SCIP oracle (rag-rat oracle run) upgrades edges to a Compiler tier from a real language tool, recovers calls tree-sitter missed, flags external edges, and makes important_symbols surface the genuine god-modules. Turn on [oracle] auto_run and the MCP server keeps it fresh on its own (throttled, watcher-safe). Full details: docs/oracle.md.

Freshness

rag-rat mcp runs a background file watcher (on by default; [watch] enabled = false or RAG_RAT_NO_WATCH=1 to disable), so graph/symbol queries reflect uncommitted edits without a commit. Indexed rows are git-context-aware: clean files are stored by commit_sha, dirty/untracked files in a worktree overlay, so one database reuses rows across branch switches while reflecting local edits. Optional git hooks (rag-rat hooks install) keep the index current on checkout/merge/rewrite/commit. read_chunk and search validate hits against current source and heal stale entries before returning.

One watcher per worktree and one writer at a time are enforced with file locks (unreliable on NFS / WSL2 /mnt mounts).

Output format

The CLI and MCP results default to TOON (Token-Oriented Object Notation) — a token-efficient encoding that renders uniform rows as a dense [N]{cols}: table (~30% smaller than compact JSON on those payloads, never larger in practice). Pass --json (CLI, either position) or launch rag-rat mcp --json (MCP) when a JSON parser must read the output.

Commands

rag-rat init                       # guided first-run setup
rag-rat index [--changed|--discover|--full]
rag-rat doctor
rag-rat query "semantic recall"    # add --json for JSON
rag-rat important-symbols --limit 20
rag-rat brief --mode spine|churn|god_modules|refactor_candidates
rag-rat clusters --limit 10
rag-rat oracle run | status        # compiler-grade resolution (docs/oracle.md)
rag-rat models list | install <model>
rag-rat reconcile --changed-first --max-seconds 60 --batch-size 64
rag-rat github sync --from-refs
rag-rat hooks install              # git maintenance hooks
rag-rat gc                         # prune rows for dead git contexts
rag-rat eval [--json|--update-baseline]   # CI search-quality gate; requires a `--features eval` build (absent from the released binary)
rag-rat mcp                        # start the STDIO server

Benchmarks

The headline workload is indexing the whole Linux kernel (v7.0, ~63k C/H files, 11.2M graph edges). Full numbers — wall-clock, throughput, peak RSS, on-disk size, unresolved-edge taxonomy — are in docs/benchmarks.md. Performance is tracked per-push and gated per-PR; the live history is at bencher.dev/perf/rag-rat/plots (wiring: docs/bencher.md).

Security

The MCP server exposes read-only source tools. It never executes shell commands or writes your source files. It writes only the configured SQLite index — during indexing, migration, maintenance, reconciliation, repo-memory operations, and automatic stale-index healing. GitHub sync is explicit and uses gh api; normal query tools read only the local cache.

Releasing & license

Releases are automated by release-plz (the three crates ship in lockstep; see docs/releasing.md). rag-rat is MIT-licensed — see LICENSE.

About

Local repo-intelligence MCP for coding agents: indexes source, symbols, call graphs, git/GitHub history, and source-bound repo memories into local database.

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