Enables AI assistants to build and query temporally-aware knowledge graphs from conversations and data, maintaining persistent memory of entities, relationships, and facts across interactions.
Enables AI assistants to build and query temporally-aware knowledge graphs from conversations and data. Supports adding episodes, searching entities and facts, and maintaining persistent memory across interactions.
Bridges AI assistants with LightRAG's knowledge graph capabilities, enabling document management and multi-mode queries through the Model Context Protocol.
A knowledge graph server for AI agents, built with Neo4j and integrated with Model Context Protocol, enabling dynamic graph management and semantic search.
Enables Claude Code to interact with a temporal knowledge graph through 24 tools for CRUD, search, traversal, and view management, with automatic entity resolution via a context hook.
Enables LLM agents to query a bi-temporal property graph using verified temporal operators via MCP, with auditable claims and correction-aware time travel.