Long-term memory for AI agents over MCP — episodic + semantic memory, a temporal knowledge graph, and a dialectic user model, exposed as 32 tools (recall, remember, context, graph, dreaming, peers). Zero dependencies, runs fully offline; leads the LoCoMo benchmark at ~35x fewer LLM calls.
Cognitive memory system for AI agents with 129 MCP tools. Persistent 6-tier hierarchical memory (working→short-term→long-term→semantic), Ebbinghaus forgetting curves, dream consolidation, hybrid retrieval (BM25+RRF), goal tracking, emotional recall, knowledge graphs, and a 26-job consciousness daemon. Works with Claude Code, Cursor, and any MCP client.
Persistent memory, teams, and projects for AI agents. 76 MCP tools for storing, recalling, and sharing knowledge across sessions with 4-strategy hybrid search.