Enables AI agents to store and retrieve persistent memories using BM25 search, allowing them to remember past conversations and context across sessions.
Persistent, searchable memory for AI agents. Enables agents to recover context after compaction by searching indexed conversations, emails, and files via MCP tools.
Persistent memory MCP server for AI agents that stores, recalls, and searches conversation history, key-value context, and long-term entries across sessions with semantic search and FIFO queues.