Provides a local context-memory layer for AI assistants, enabling retrieval-augmented queries, explanations, feedback, and status checks via MCP tools.
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.
Local-first AI memory layer with hybrid retrieval and brain-inspired namespaces. Enables agents to save, search, and manage memories directly via MCP tools.
Shared context storage for AI agents. Enables any MCP-compatible model to store, read, and search context entries through the MCP server, with a web UI for management.