Enables LLM agents to accumulate and manage organizational knowledge across sessions in Neo4j, with enforced structural invariants and append-only semantics.
Lets AI agents query a computerized system inventory as a knowledge graph using Cypher, enabling blast radius, data lineage, regulation checks, and change impact assessments while preventing hallucinated regulatory claims.
Enables querying a Neo4j knowledge graph built from Git repositories and relational database schemas via MCP, with tools for schema inspection, Cypher queries, and searching code and database entities.
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.