MCP server providing cognitive memory tools (remember, recall, think, etc.) for AI agents, enabling forgetting, consolidation, and contradiction detection.
Provides an MCP server that gives LLM agents an evolutionary memory: entries pay upkeep and survive only if they earn their keep through measured outcomes, with tools for querying, settling, and managing memory.
MCP server for LeafMem, a layered memory engine that gives AI agents persistent, scoped memory with local retrieval and optional embedding rerank. It exposes tools for capturing turns, storing memories, and building recall context.
MCP server for zero-config, traceable long-term memory using SQLite, enabling agents to store, search, trace, and monitor memory with tools like memory_store, memory_search, and memory_health.