Graph-native bounded working memory for coding agents with typed memories, causal retrieval, current-vs-stale state queries, and compact small-model briefs.
Four-layer hybrid search and knowledge graph for AI coding assistants: BM25 + vector embeddings + RAPTOR directory summaries + graph expansion fused into a single MCP tool.
Enables AI agents to efficiently retrieve relevant code context via PageRank-optimized subgraphs and automate spec generation, implementation planning, and pre-commit validation.