Provides ephemeral hybrid (vector + BM25) memory for MCP-compatible editors, enabling AI to save and search conversation and code context across sessions with automatic semantic search and context injection.
Enables AI coding agents to intelligently index and search codebases with sub-20ms retrieval, 8x memory compression, and cross-encoder reranking via MCP stdio.
Enables AI agents to search code by meaning, explore codebase structure, store and query knowledge with temporal facts, and read source code through a set of MCP tools.