Enables AI agents to share a portable, user-level memory layer through MCP, allowing them to store, search, update, link, and consolidate facts with optional full-text and vector retrieval.
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.
Enables AI agents to capture, search, and manage structured memory from agent sessions with append-only events and provenance tracking, providing eight local MCP stdio tools.
A bi-temporal, provenance-carrying memory primitive for AI agents. Enables storing facts, recall, revision, and audit trails via MCP with SQLite storage.