ast-grep Free plan 9.1 Visit LeIndex
github.com
Spec sheet
- Product
- LeIndex is a semantic code search engine that searches code by meaning rather than only by keywords.Read 8 Oct 2026 · github.com
- Deployment
- LeIndex provides Cargo, npm, PyPI, and release-script installation paths, and can run as a local CLI, MCP server, or HTTP/WebSocket server.Read 8 Oct 2026 · github.com
- Integrations
- The README documents MCP integrations for Claude Code, Cursor, VS Code, Zed, Amp, OpenCode, Qwen CLI, Gemini CLI, iFlow CLI, Droid, and Claude Desktop.Read 8 Oct 2026 · github.com
- Security
- The README says database discovery is opt-in, sensitive directories such as .ssh and .aws are automatically excluded, and SQL operations use parameterized queries.Read 8 Oct 2026 · github.com
- License
- The repository lists the project under the MIT license.Read 8 Oct 2026 · github.com
- AI tools
- LeIndex runs as an MCP server for AI coding tools, including Claude Code, Cursor, and other MCP-compatible agents.Read 4 Oct 2026 · github.com
- Analysis
- LeIndex includes a five-phase codebase analysis pipeline and structural analysis of code relationships.Read 8 Oct 2026 · github.com
- Cloud embeddings
- OpenAI, Cohere, and custom OpenAI-compatible embedding endpoints are supported and require network access and provider API keys.Read 4 Oct 2026 · github.com
- Cross-project
- It can index and search multiple repositories together.Read 4 Oct 2026 · github.com
- Dashboard
- An optional Bun and React dashboard provides project metrics and graph telemetry.Read 4 Oct 2026 · github.com
- Embedding providers
- The README lists local Qwen3 ONNX embeddings and optional remote embeddings through OpenAI, Cohere, or a custom OpenAI-compatible endpoint.Read 8 Oct 2026 · github.com
- Fallback
- Without an embedding backend, LeIndex falls back to offline TF-IDF keyword search, which the README says lacks semantic understanding.Read 4 Oct 2026 · github.com
- Fallback behavior
- Without an embedding backend configured, LeIndex falls back to offline TF-IDF keyword search, which the README says lacks semantic understanding.Read 8 Oct 2026 · github.com
- Install paths
- The README documents installation through Cargo, npm, PyPI, a release install script, or building from source.Read 4 Oct 2026 · github.com
- Local privacy
- The README says local ONNX models keep data on the user's machine, and that fragment embeddings remain local unless a remote provider is selected.Read 8 Oct 2026 · github.com
- MCP tools
- The README lists 20 MCP tools for functions such as search, project mapping, reading, editing, renaming, and impact analysis.Read 8 Oct 2026 · github.com
- Notable setup limit
- The README says model files are not included in release artifacts and must be downloaded by running leindex setup.Read 8 Oct 2026 · github.com
- Operating systems
- The README includes Windows, macOS, and Linux installation references and runtime library formats.Read 8 Oct 2026 · github.com
- Search
- It combines TF-IDF lexical matching, Program Dependence Graph structure, and optional local ONNX neural scoring.Read 4 Oct 2026 · github.com
- Search methods
- Its core retrieval combines TF-IDF lexical matching with Program Dependence Graph structure, and it can add local ONNX neural scoring.Read 8 Oct 2026 · github.com
- Who it is for
- The project describes itself as built for developers and AI coding tools, including use for onboarding, legacy code exploration, and cross-project search.Read 8 Oct 2026 · github.com
Where Specifiction places it
- Code Search Tools#22 of 427.5
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