Enables AI assistants to perform hybrid semantic and lexical code search across multiple repositories, retrieve symbol definitions and call hierarchies, and manage repository relations through MCP tools.
Provides coding agents with searchable codebase context through an MCP server, enabling hybrid BM25 and semantic search, symbol graph navigation, and dependency mapping over an incrementally maintained repository index.
Provides a local-first code indexing and search engine for coding agents via MCP, enabling precise codebase queries, symbol lookup, and freshness-aware retrieval.
Provides two-modal code search (lexical via Zoekt and semantic via ChromaDB embeddings) for AI coding agents through MCP tools, enabling fast regex and meaning-based code lookup.
Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.