A local server that provides powerful code analysis and search capabilities for software projects, helping AI assistants and development tools understand codebases for tasks like code generation and refactoring.
A local code indexing and search library that enables AI agents to perform semantic and keyword searches across codebases using tree-sitter and SQLite. It provides tools for indexing projects and finding precise code definitions without requiring external APIs, Docker, or server infrastructure.
HTTP-based server that provides semantic code search capabilities to IDEs through the Model Context Protocol, allowing efficient codebase exploration without repeated indexing.
Semantic search server for code and documentation using Qdrant vector database. Supports multi-language indexing, live updates, and natural language queries.
A local indexing and retrieval service that enables semantic code search by wrapping Cursor's backend RepositoryService. It provides tools for indexing local workspaces and performing incremental semantic searches with automatic synchronization.
A minimalist indexing tool that provides AI agents with semantic search and structural AST parsing for deep codebase understanding. It enables autonomous agents to navigate large codebases predictably using vector embeddings and native language server capabilities like definition and reference tracking.
