MCP server for brainmem, providing memory search, write, outcome, explain, and status tools to give LLM agents auditable long-term memory. It prioritizes failures, gates writes on surprise, and supports validity intervals for beliefs.
MCP server providing persistent memory for LLMs via semantic search over captures, structured facts with temporal tracking, and document ingestion. Enables any MCP-compatible client to maintain a searchable knowledge base across sessions.
Persistent memory MCP server for AI agents, featuring a visual interface to browse, search, edit, and delete memory. It provides tools for capturing episodes, recalling, consolidating, crystallizing traits, and forgetting, with local SQLite storage and optional authenticated web UI.
MCP server that enables persistent, hybrid, local memory for LLM agents, with vector + BM25 search, knowledge graph, and policy-driven retention, providing token-budgeted context injection for AI assistants.
