Remembra is a self-hosted Memory Control Plane (MCP) that gives AI agents and automations a persistent, explainable memory system. It connects tools like Claude, Cursor, Codex, OpenAI agents, and more, allowing for shared, auditable, and time-aware context across projects and sessions. Features include fact/entity extraction, provenance tracking, entity graph recall, conflict resolution, robust security controls, and an operator dashboard for recall debugging and auditability. Remembra is designed for teams deploying multi-agent workflows who need reliable, production-grade agent memory, and is suited for use cases in developer tools, sales & CRM, healthcare, education, and e-commerce.
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Comprehensive guides and API references for implementing and utilizing Remembra.
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