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codeseek
Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 lan…
git clone https://github.com/CodeBendKit/codeseek
CodeSeek
Code intelligence CLI tool for Claude Code. AST-based call graph analysis + semantic search — right from your terminal.
Quick Start
# Install via npm (handles setup wizard + binary download automatically)
npm install -g codeseek
# First run — interactive setup wizard configures your embedding model
codeseek
# Index your project
codeseek init
# Search code by symbol name
codeseek search main --limit 10
# Query call graph
codeseek callers main
codeseek callees process_data
# Register with Claude Code / Codex as MCP tools
codeseek install
# Check status
codeseek status
# Auto-index on git commits
codeseek install-hooks
Install
npm
npm install -g codeseek
The npm package ships a lightweight JS wrapper that handles:
| Step | Description |
|---|---|
| First-run wizard | Interactive CLI prompts for embedding API token, model, and base URL |
| Binary download | Automatically pulls the correct Rust binary for your platform from GitHub Releases |
| Pass-through | All commands (init, search, callers, etc.) are forwarded to the native binary |
Supported platforms:
| Platform | Architecture |
|---|---|
| macOS | arm64 (Apple Silicon), x64 (Intel) |
| Linux | x64 |
Homebrew
brew tap CodeBendKit/codeseek [email protected]:CodeBendKit/codeseek.git
brew install codeseek
From source
git clone https://github.com/CodeBendKit/codeseek.git
cd codeseek
./build.sh --release
build.sh compiles both the TypeScript wrapper (dist/) and the Rust binary, then installs to ~/.codeseek/bin/.
Commands
| Command | Description |
|---|---|
codeseek | First-time setup wizard (configures embedding model interactively) |
codeseek init | Build/update code index (full on first run, MD5-incremental thereafter) |
codeseek status | Index statistics: functions, files, last update |
codeseek search <query> | Symbol name search (falls back from vector → graph name match) |
codeseek callers <symbol> | Find functions that call this symbol |
codeseek callees <symbol> | Find functions this symbol calls |
codeseek list | List all indexed projects with paths |
codeseek install | Register codeseek as MCP tools in Claude Code / Codex |
codeseek uninstall | Remove MCP integration |
codeseek uninit | Delete the current project index |
codeseek install-hooks | Install git hooks (post-commit/post-merge → codeseek init) |
codeseek serve --mcp | Start MCP server (stdio JSON-RPC, used by Claude Code internally) |
All query commands support --json for machine-readable output.
Claude Code / Codex Integration
codeseek install
Writes MCP server config to:
| Agent | Config file |
|---|---|
| Claude Code | ~/.claude.json (global, all projects) or ./.mcp.json (project-local) |
| Codex CLI | ~/.codex/config.toml |
Claude Code auto-discovers these tools after restart:
| Tool | Capability |
|---|---|
codeseek_search | Find symbols by name |
codeseek_callers | Trace upstream callers |
codeseek_callees | Trace downstream callees |
codeseek_status | Check index health |
Remove integration:
codeseek uninstall
How It Works
Index Building (codeseek init)
Source files
→ Tree-sitter AST parse (7 languages)
→ Extract functions / classes / methods
→ Batch embed via API (20 texts per call, SQLite cache)
→ Store vectors in LanceDB
→ Build BM25 index in Tantivy
→ Serialize call graph (PetCodeGraph)
→ Save to ~/.codeseek/<project_hash>/
Idempotent: first run is full build, subsequent runs compare MD5 hashes — only changed files are re-processed. Use codeseek install-hooks for automatic re-index on git commit/merge.
Hybrid Search Pipeline (codeseek search)
┌─────────────────────┐
User query ────────────→│ Embedding Model │──→ Query vector
└─────────────────────┘
│
┌───────────────────────┼───────────────────────┐
▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Dense Search │ │ Sparse Search│ │ Graph Search │
│ (LanceDB ANN)│ │ (Tantivy BM25)│ │ (PetCodeGraph)│
└──────┬───────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
└──────────────────────┼──────────────────────┘
▼
┌─────────────────┐
│ RRF Fusion │ ← Reciprocal Rank Fusion
│ (Top-20 candidates)│
└────────┬────────┘
│
▼
┌─────────────────┐
│ Reranker │ ← Cross-Encoder fine re-ranking
│ (Qwen3-Reranker)│ scores each (query, code) pair
└────────┬────────┘
│
▼
┌─────────────────┐
│ Final Results │ ← Top-5 (or Top-N)
└─────────────────┘
| Stage | Technology | Role | Speed |
|---|---|---|---|
| Dense Search | LanceDB + Embedding Model | Semantic vector similarity | Fast |
| Sparse Search | Tantivy BM25 | Keyword & token matching | Fast |
| RRF Fusion | Reciprocal Rank Fusion | Merge heterogeneous scores fairly | Instant |
| Reranker | Cross-Encoder (Qwen3-Reranker-4B) | Full-interaction precision scoring | ~1-2s |
| Fallback | PetCodeGraph | Graph-based name search (no API needed) | Instant |
If embedding/Reranker are unavailable, the pipeline falls back gracefully to graph-based name search.
Storage
- Config:
~/.codeseek/config.json(global, shared across all projects) - Index:
~/.codeseek/<md5(project_root)>/project.json— Project metadatagraph.bin— Serialized call graphembeddings.lance/— LanceDB vector datatantivy_bm25/— BM25 full-text indexfile_hashes.json— MD5 incremental tracking
No daemon, no HTTP server. Every command is a standalone process.
Supported Languages
| Language | Functions | Structs/Classes | Call Graph |
|---|---|---|---|
| Rust | ✅ | ✅ | ✅ |
| Python | ✅ | ✅ | ✅ |
| JavaScript | ✅ | ✅ | ✅ |
| TypeScript | ✅ | ✅ | ✅ |
| Go | ✅ | ✅ | ✅ |
| C/C++ | ✅ | ✅ | ✅ |
| Java | ✅ | ✅ | ✅ |
Configuration
~/.codeseek/config.json:
{
"embedding": {
"provider": "openai-compatible",
"model": "Qwen/Qwen3-Embedding-4B",
"api_token": "sk-...",
"api_base_url": "https://api.siliconflow.cn/v1",
"dimensions": 2560
},
"index": {
"min_code_block_length": 16,
"enable_reranker": true,
"hybrid": {
"enable_bm25": true,
"bm25_top_k": 20,
"vector_top_k": 20,
"rrf_k": 60,
"rrf_top_k": 20
},
"reranker": {
"enabled": true,
"model": "Qwen/Qwen3-Reranker-4B",
"api_token": "sk-...",
"api_base_url": "https://api.siliconflow.cn/v1/rerank",
"top_n": 5,
"candidate_multiplier": 5,
"timeout_secs": 60
}
},
"installed_hooks": {}
}
Model Roles
| Model | Role | When |
|---|---|---|
Qwen/Qwen3-Embedding-4B | Converts code → vectors for dense search | Index building |
Qwen/Qwen3-Reranker-4B | Scores (query, code) pairs for precision | Search time |
Set via the interactive wizard on first run, or create manually.
Development
cd rust-core
# Build
cargo build
# Build + install to ~/.codeseek/bin/
cd .. && ./build.sh --release
# Run tests
cargo test
# Compile TypeScript wrapper
npm run build
License
MIT
Built with: Tree-sitter · Petgraph · LanceDB · Tantivy · Tokio · Clap
// compatibility
| Platforms | cli, api |
|---|---|
| Operating systems | — |
| AI compatibility | claude |
| License | MIT |
| Pricing | open-source |
| Language | Rust |
// faq
What is codeseek?
Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.. It is open-source on GitHub.
Is codeseek free to use?
codeseek is open-source under the MIT license, so it is free to use.
What category does codeseek belong to?
codeseek is listed under devtools in the Claudeers registry of Claude-compatible tools.
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[](https://claudeers.com/codeseek)
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