Enables coding agents to query a local, versioned knowledge graph of a software project, retrieving overviews, context packs, evidence, and explanations to make informed changes.
Enables LLMs to query a local commitment ledger and knowledge base extracted from email, calendar, and meeting transcripts, allowing natural language search for facts, people, and open commitments, and suggesting closures with evidence.
Enables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.
Enables AI agents to query and analyze code across multiple repositories through a unified knowledge graph, with tools for symbol search, impact analysis, and graph algorithms.
Enables AI agents to inspect and manage Linux kernel-level eBPF security policies, including real-time status monitoring, policy retrieval, dynamic rule injection, and pre-execution SQL/syscall validation via natural language.