Projekt
AgentKG: Conversational Memory as a Knowledge Graph
AgentKG stores and retrieves conversational AI agent memory as a live, queryable knowledge graph. It provides persistent, structured memory for AI agents with semantic search, topic clustering, entity tracking, and MCP integration — enabling agents to recall prior context, build knowledge over time, and reason over th…
AgentKG stores and retrieves conversational AI agent memory as a live, queryable knowledge graph. It provides persistent, structured memory for AI agents with semantic search, topic clustering, entity tracking, and MCP integration — enabling agents to recall prior context, build knowledge over time, and reason over their interaction history.