MemU provides an autonomous memory layer for LLM applications, organizing and linking stored information into a connected knowledge graph, with APIs and enterprise integration options.

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MemU is for people who use AI agents and want useful context to carry over between sessions and tools. It captures agent session history, then lets the agent decide whether to save a preference, project decision, or learned workflow as a readable Markdown memory or reusable skill. Before future tasks, connected agents can retrieve relevant files instead of starting without that context. MemU provides adapters for agents including Codex, Claude Code, Cursor, OpenClaw, Hermes, and WorkBuddy, plus a generic adapter for compatible agents. Multiple agents can share a memory store, so a skill learned in one tool may be available in another. Choose MemU Cloud for managed storage or self-host with SQLite or Postgres. It suits users seeking inspectable, cross-agent memory; setup involves connecting an agent adapter and, for self-hosting, configuring an embedding provider.

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