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.
A local, persistent, semantically-aware knowledge graph for AI coding agents like Claude Code, providing efficient session memory with minimal token cost and zero runtime network calls.
Provides a local long-term memory layer for AI coding tools like Cursor and Claude Code, enabling cross-session, cross-tool sharing of project facts, user preferences, decisions, and workflows.
Provides a unified context system for AI coding agents with memory, knowledge graph, specs, and code graph subsystems, all stored in SQLite. Enables persistent recall of decisions, conventions, errors, project knowledge, and code structure.
Enables AI coding agents to navigate massive codebases through fast code property graph queries, sandboxed recursive language model execution, durable semantic memory, and swarm concurrency coordination.