Provides AI agents with persistent, human-like memory infrastructure via MCP, enabling them to store, search, summarize, and forget episodic, semantic, procedural, and working memories across sessions.
Provides AI agents with persistent knowledge storage, enabling them to store, search, and retrieve text, documents, and files using semantic and keyword search via MCP tools.
Provides persistent memory (L1/L2/L3 encrypted), web-search savings, and thread memory for AI agents, enabling token savings and context retention across MCP clients.
Provides persistent, multi-tenant knowledge graph memory for MCP-capable AI tools, allowing them to recall and store entities, observations, and relations across sessions with keyword search.
Provides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.