codeindex

Self-contained, deterministic repo-indexing engine: file walking, language detection, symbol/import extraction (tree-sitter AST with a regex fallback), import resolution, a typed cross-file link-graph, and graph analytics — shipped as a single zero-dependency engine.mjs that consumer tools vendor (copy into their repo) instead of installing.

Designed for downstream tools — agent skills, CLIs, CI gates — that vendor the engine as a single file instead of taking an npm dependency.

What it does

• Walk a repo deterministically: ignore lists, binary/lockfile skips, size and count caps (capped flag, never silent truncation), symlink-cycle guard.
• Scan every file into a FileRecord: classification, language, symbols, imports, headings, hashes — with an incremental cache fastpath.
• Extract symbols via tree-sitter (13 languages, when the wasm sidecar is present) or per-language regex rules (15 languages, always available).
• Resolve imports across languages: tsconfig paths, package exports, go.mod, Cargo, Java packages, PSR-4, C# namespaces.
• Build a typed link-graph: import / call / use / doc-link / mention edges at file and module level, plus Louvain communities, PageRank/ betweenness centrality, a tests→code map, and surprise-edge detection.
• Render byte-stable graph.json / symbols.json (two builds of an unchanged repo are byte-identical), plus a SCIP code-intelligence index (index.scip) via a hand-rolled zero-dependency protobuf encoder — validated by the official scip CLI (stats/lint).

Use as a library (the vendoring model)

Consumers commit scripts/engine.mjs + scripts/engine.d.mts (fetched at a pinned release tag) into src/vendor/ and import from it; their bundler inlines the engine so they still ship a single file:

import { buildIndexArtifacts, renderGraphJson } from "./vendor/engine.mjs";

const { scan, graph, symbols } = buildIndexArtifacts("/path/to/repo");

The AST tier is optional: without a grammars/ directory next to the bundle the engine silently uses its regex tier. Only tools that want AST precision also vendor scripts/grammars/ (~17 MiB of wasm).

Slim grammars (pull instead of vendor)

Consumers that want AST precision but not the ~17 MiB of vendored wasm can codeindex grammars pull the grammars once into a shared, per-machine cache (<XDG_CACHE_HOME|~/.cache>/codeindex/grammars/<ENGINE_VERSION>) instead:

codeindex grammars status   # active tier (adjacent/env/cache/none) + whether a pull is needed
codeindex grammars pull     # fetch the per-release grammars asset, sha256-verified, into the cache

Resolution is adjacent > env > cache > regex: a bundle-adjacent grammars/ still wins if present (offline setups are untouched), then CODEINDEX_GRAMMARS_DIR, then the pulled cache. pull fetches the official grammars-<version>.tar.gz release asset (its .sha256 sidecar is verified before anything is written) and extracts it atomically; the same wasm bytes produce byte-identical AST extraction from the cache as from a vendored dir. It is fully offline-safe: with no grammars resolvable anywhere — and after a failed or absent pull — the engine silently falls back to the regex tier exactly as it does today; a pull never throws into indexing.

Use from npm

For consumers who don't want to vendor the bundle, @maxgfr/codeindex also resolves as a regular package:

npm i @maxgfr/codeindex

import { scanRepo, ENGINE_VERSION } from "@maxgfr/codeindex";

const scan = scanRepo("/path/to/repo");

The CLI ships in the same package — see Use as a CLI below for the global install command. Consumer tools should still prefer vendoring: it keeps their own bundle single-file and pinned to an exact commit without an npm dependency.

Use as a CLI

brew install maxgfr/tap/codeindex        # or: npm i -g @maxgfr/codeindex

codeindex index   --repo . --out .codeindex   # graph + symbols + incremental cache
codeindex graph   --repo . > graph.json
codeindex scip    --repo . --out index.scip   # SCIP index (--out - for stdout)
codeindex callers --repo .                    # per-symbol caller index
codeindex grep    'pattern' --repo .

Docker

ghcr.io/maxgfr/codeindex ships the same zero-dependency bundle (engine.mjs

• cli.mjs + the AST grammars) with nothing else inside — just node and the files above, no npm install. Multi-arch (linux/amd64, linux/arm64), built and pushed on release. Mount the repo to index at /work:

docker run --rm -v "$PWD":/work ghcr.io/maxgfr/codeindex scan --repo /work
docker run --rm -v "$PWD":/work ghcr.io/maxgfr/codeindex index --repo /work --out /work/.codeindex

Pin by digest in CI or anywhere reproducibility matters, rather than a mutable tag:

docker run --rm -v "$PWD":/work ghcr.io/maxgfr/codeindex@sha256:... scan --repo /work

Runs as an MCP server over stdio the same way as the npm CLI (see Use as an MCP server below) — add -i so docker run keeps stdin open:

docker run -i --rm -v "$PWD":/work ghcr.io/maxgfr/codeindex mcp

Search

codeindex search "<query>" --repo . ranks files with keyless BM25 over symbol names, path segments, markdown headings and summaries. A query term that matches nothing in the corpus (zero document frequency) gets a deterministic trigram fuzzy fallback — typo tolerance without embeddings: the term is compared to the corpus vocabulary by character-trigram Dice similarity (threshold 0.6, top-3 candidates, contribution scaled by the Dice score so a near-miss always ranks below an exact hit). Terms that already match anything are never touched, so an existing query stays byte-identical. Enabled by default; disable with --no-fuzzy (CLI) or fuzzy: false (library/MCP SearchOptions.fuzzy); results carry an additive fuzzyTerms field when the fallback contributed.

Semantic search (deterministic static-embedding tier)

codeindex search "<query>" --repo . --semantic RRF-fuses lexical BM25 with a keyless, byte-deterministic embedding tier. It uses a static embedding model (a token → vector lookup table, no neural forward pass, no wasm): the pure-JS encoder tokenizes → mean-pools → L2-normalizes → int8-quantizes (round-half-to-even), and ranking is a pure integer dot product — so encode and the embeddings.bin artifact are byte-identical across builds and platforms.

It is opt-in by asset: with no model on disk the engine silently stays lexical, and --semantic without a model returns lexical results on exit 0 (a stderr note only). Models are never shipped in the package; a model is resolved from CODEINDEX_EMBED_DIR or <repo>/.codeindex/models/. Getting one is zero-config: codeindex embed pull fetches the official embed-model-v1 release asset, sha256-verified before anything is written.

codeindex embed pull   --repo .              # fetch the official model asset into
                                             # CODEINDEX_EMBED_DIR (or <repo>/.codeindex/models/); sha256-verified
codeindex embed status --repo .              # effective mode + reachability (JSON)
codeindex embed build  --repo . --out .codeindex   # write embeddings.bin
codeindex search "http client retry" --repo . --semantic

codeindex index also writes embeddings.bin next to graph.json when a model is present. Fusion reuses the engine's rrf helper (k=60); SCHEMA_VERSION is untouched (a dedicated EMBED_VERSION keys the sidecar).

Three embedding modes (precedence: endpoint > static > none)

mode	trigger	determinism
none	no model, no endpoint	— (pure lexical)
static	a model.json on disk	byte-deterministic (goldens)
endpoint	CODEINDEX_EMBED_ENDPOINT set	per image digest

The rich (endpoint) tier points the engine at a local containerized embedding server (all-MiniLM-L6-v2). The endpoint's float vectors flow through the same L2 + int8-quantize + integer-ranking pipeline as the static tier. Setting the env var is explicit intent, so it wins over a local model; an unreachable endpoint degrades to lexical (exit 0), not to the static model.

codeindex embed serve            # print the docker run one-liner (or --run it)
docker run -d -p 8756:8756 ghcr.io/maxgfr/codeindex-embed:latest
# reproducible: pin the digest → ghcr.io/maxgfr/codeindex-embed@sha256:<digest>
CODEINDEX_EMBED_ENDPOINT=http://localhost:8756 \
  codeindex search "auth token" --repo . --semantic

Full details incl. the HTTP protocol (build your own server): docs/SEMANTIC.md.

Use as an MCP server

codeindex mcp (or node scripts/cli.mjs mcp) serves the engine over stdio — tools: scan_summary, graph, symbols, callers, workspaces, churn, grep. Register it in Claude Code with:

claude mcp add codeindex -- codeindex mcp

engine.mjs is a pure side-effect-free library (safe for consumers to inline into their own CLIs); cli.mjs is the thin standalone CLI/MCP wrapper.

Versioning

• ENGINE_VERSION — the release tag, embedded greppably in the bundle.
• SCHEMA_VERSION — the graph.json/symbols.json shape (currently 4). Consumers reject mismatched artifacts.
• EXTRACTOR_VERSION — the extraction output shape; incremental caches keyed on it are discarded wholesale when it bumps.

buildGraph/buildIndexArtifacts accept meta: { version, schemaVersion } so a consumer can stamp its own identity into artifacts it persists.

Benchmarks

Measured against 01x-in/codeindex, universal-ctags and scip-typescript with a reproducible harness (scripts/bench/); full methodology, fairness notes and all scenarios in BENCHMARKS.md.

Metric	codeindex	Context
socialgouv/code-du-travail-numerique — cold index	1,746 ms	vs ctags 371 ms, 01x init 13,409 ms
socialgouv/code-du-travail-numerique — warm rerun	339 ms
vercel/next.js — cold index	9,398 ms	vs ctags 3,431 ms
socialgouv/code-du-travail-numerique — token ratio (measured)	32.9×	structured index vs raw grep, single-symbol lookup

Development

pnpm install
pnpm test          # unit + fixtures + compat + no-wasm gates
pnpm typecheck
pnpm build         # tsup → scripts/engine.mjs + scripts/engine.d.mts
pnpm check:build   # proves the committed bundle is byte-reproducible
pnpm test:e2e      # opt-in: pinned real-repo builds with ratchets

The compat suite pins golden bytes for the mini-repo fixture — the proof that extraction stays lossless across releases.

License

MIT