AI-powered semantic code search. Find code by meaning, not just text.
Search for "authentication logic" and find OAuth handlers, JWT validation, and session management — even if those words never appear in the code. Built-in code intelligence finds dead code, circular dependencies, and shows blast radius before refactoring.
Requires Node.js >= 18.17.
npm install -g lgrep
lgrep init
lgrep init walks you through the two supported first-run paths:
Local - local index and local cacheCloud - Postgres-backed index and Postgres-backed cachegit clone https://github.com/dennisonbertram/lgrep && cd lgrep
npm install --legacy-peer-deps
npm run build
node dist/cli/index.js init
lgrep init
lgrep doctor
lgrep list
lgrep search "user authentication logic"
lgrep search --usages "validateUser"
lgrep search --definition "UserService"
lgrep context "add rate limiting"
lgrep intent "what calls awardBadge"
lgrep install --target claude
lgrep install --target codex
lgrep install --target mcp
lgrep install --target all
Targets:
claude installs the Claude skill and SessionStart hookcodex writes project guidance into AGENTS.mdmcp configures lgrep as an MCP serverall installs all threeIn local mode, the SessionStart hook can start local watchers automatically. In cloud mode, the hook exits immediately and relies on the shared remote index.
| Command | Purpose |
|---|---|
lgrep index <path> |
Index a directory (--update, --force, --name) |
lgrep search <query> |
Semantic search (--usages, --definition, --type) |
lgrep context <task> |
Build context for LLM tasks (--max-tokens, --depth) |
lgrep intent <prompt> |
Natural language command routing |
lgrep list |
List all indexes |
lgrep watch <path> |
Auto-update index on file changes |
lgrep stop <name> |
Stop a watcher |
lgrep delete <name> |
Delete an index |
lgrep clean |
Remove failed/stale/zombie indexes |
lgrep init |
Guided setup for local or cloud profiles |
lgrep profile |
Manage named local/cloud profiles |
lgrep server |
Run or inspect the shared hosted query service |
lgrep server bootstrap |
Bootstrap a hosted project, worktrees, and token |
lgrep server token |
Create and inspect scoped hosted query tokens |
| Command | Purpose |
|---|---|
lgrep dead |
Functions with zero callers |
lgrep similar |
Duplicated function bodies |
lgrep cycles |
Circular dependency chains |
lgrep unused-exports |
Exported but never imported symbols |
lgrep breaking |
Calls with mismatched argument counts |
lgrep rename <old> <new> |
Preview rename impact |
lgrep callers <symbol> |
All callers of a function |
lgrep deps <module> |
Module dependency graph |
lgrep impact <symbol> |
Blast radius of a change |
| Command | Purpose |
|---|---|
lgrep graph |
Visualize dependencies in a web UI (--mode calls\|deps) |
lgrep analyze <path> |
One-off code structure analysis (--symbols, --deps, --calls) |
lgrep symbols [query] |
Quick symbol lookup (-k function, -f auth.ts) |
lgrep explain <target> |
AI-powered explanation of a file or symbol |
lgrep stats |
Index statistics |
lgrep logs |
Watcher daemon logs (-f to follow) |
lgrep daemon |
Manage in-memory query daemons (start\|stop\|list) |
All commands support --json for scripting. Most support -i, --index and -l, --limit.
| Provider | Speed | Best For | Setup |
|---|---|---|---|
| OpenAI | ~50ms | General (recommended) | OPENAI_API_KEY |
| Voyage | ~100ms | Code search | VOYAGE_API_KEY |
| Cohere | ~50ms | Multilingual | COHERE_API_KEY |
| Ollama | ~1-5s | Privacy, offline | lgrep init |
lgrep config model auto # auto-detect (default)
lgrep config model voyage:voyage-code-3 # explicit
Auto-detected. Priority: Groq > Anthropic > OpenAI > Ollama.
lgrep config summarizationModel auto # default
lgrep config summarizationModel groq:llama-3.1-8b-instant # explicit
Create .lgrep.json in your repo root to skip --index flags:
{
"index": "my-project",
"root": "src"
}
For cloud mode, lgrep defaults to Postgres for both the index and the cache. S3/R2 is still supported as an advanced/manual path, but it is no longer the default onboarding route.
See docs/guides/remote-storage.md for setup.
You can also run lgrep behind a shared HTTP query service instead of giving every agent direct database credentials.
Fastest setup:
export LGREP_DATABASE_URL="postgres://user:password@host:5432/lgrep"
lgrep server bootstrap /path/to/repo \
--project repo-main \
--branch main \
--worktree 'feature-login|/path/to/repo-feature-login|feature/login'
Then start the server with the command it prints, and on clients or agents:
export LGREP_SERVER_URL="https://lgrep.example.com"
export LGREP_SERVER_AUTH_TOKEN="your-hosted-service-token"
lgrep project info repo-main
lgrep worktree list --project repo-main
lgrep search "authentication flow" --project repo-main
lgrep callers createSession --project repo-main --worktree feature-login
lgrep impact createSession --project repo-main --worktree feature-login
lgrep context "trace session token flow" --project repo-main --worktree feature-login
If you want MCP clients to use the hosted service, export the same env vars before running lgrep install --target mcp. The generated MCP config will carry LGREP_SERVER_URL and LGREP_SERVER_AUTH_TOKEN through to the stdio MCP server.
Today this hosted path is a bearer-token-protected, single-tenant query layer for project/worktree discovery, semantic search, callers, impact, and context packages. For Railway and other remote deployments today, use the service-wide LGREP_SERVER_AUTH_TOKEN. The bootstrap-created scoped token is still filesystem-backed and is best for self-hosted deployments where the query server shares the same token store. See docs/guides/hosted-query-service.md for the hosted multi-worktree workflow, Railway deploy path, and current limits.
This is the practical next step if your goal is "one hosted database, many worktrees":
cloud profile that points at Postgres.project for your repo.worktree per branch or checkout you want searchable.lgrep server start on the machine that has Postgres access.lgrep server token create.LGREP_SERVER_AUTH_TOKEN service secret.LGREP_SERVER_URL plus LGREP_SERVER_AUTH_TOKEN.That is enough to start using hosted lgrep now.
The next product step is not another setup step for you. It is feature expansion on top of the hosted query service:
Those will make the hosted path more useful for agents, but they are not required for the current multi-worktree setup.
import { createEmbeddingClient, createAIProvider, detectBestProvider } from 'lgrep';
const embedder = createEmbeddingClient({ model: 'auto' });
const { embeddings } = await embedder.embed(['hello world']);
const ai = createAIProvider({ model: detectBestProvider() });
const explanation = await ai.generateText('Explain this code...');
By default, lgrep reads config from the active profile. You can manage profiles with lgrep profile.
lgrep profile list
lgrep profile create cloud
lgrep profile use cloud
lgrep config # show all settings
lgrep config model # get one
lgrep config model auto # set one
lgrep doctor # check everything
You can still override everything with LGREP_HOME for a one-off isolated home:
LGREP_HOME="$HOME/Library/Application Support/lgrep-local" lgrep doctor
LGREP_HOME="$HOME/Library/Application Support/lgrep-local" lgrep index . --name my-project
MIT
git clone https://github.com/dennisonbertram/lgrep && cd lgrep
npm install --legacy-peer-deps
npm run build
npm test
Maintainers: see docs/guides/releasing.md for npm release setup and the tag-based publish flow.
$ claude mcp add lgrep \
-- python -m otcore.mcp_server <graph>