Gives coding agents a memory of codebases by searching repositories using semantic similarity and structural call/import graphs, enabling reuse of proven patterns and reducing token usage.
Persistent, self-curating memory for coding agents. It enables local, zero-cost context recall through MCP tools with hybrid retrieval and autonomous consolidation.
Hebbian memory system for AI coding agents that learns file associations, error-fix patterns, and tool sequences, enabling instant recall of related context to save tokens.