memU

memU is aimed at a different pain point from workflow engines or deployment platforms: it focuses on memory. The project positions itself as a long-term memory layer for 24/7 agents, helping them store facts, preferences, and context in a form that can be retrieved efficiently across long conversations and recurring tasks.

Its most distinctive idea is to treat memory like a filesystem. Public materials describe folders, files, symbolic links, and mount points as mental models for organizing knowledge. That makes memU especially relevant for builders who want more debuggable, persistent memory behavior instead of relying only on short-context prompts or a thin RAG layer.

• Targets persistent memory for long-running and proactive agents.
• Uses a memory-as-filesystem model for organization and debugging.
• Offers both hosted and self-hosted paths in public materials.