Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
Provides AI coding assistants with deep, semantic understanding of local codebases via AST-aware chunking, cross-repo symbol graphs, and architectural memory, enabling context-aware code search and dependency tracing.
Enables semantic code search across multiple repositories using AST-aware chunking and relationship tracking. Supports local LLM embeddings, real-time indexing, and cross-codebase dependency analysis through vector and graph databases.
Enables AI agents to semantically navigate codebases via an AST index, supporting symbol search, usage lookup, module exploration, and dependency analysis.
Enables AI coding agents to search, route, and read code across multiple repositories through a central semantic index, without needing to clone repositories locally.