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mem01 Main Features

• Agents SDK
  It provides tools for creating AI agents that can keep different chats separate and remember long-term user beliefs.
• Benchmarks
  The system is tested with questions to measure how well it remembers and answers, aiming for high accuracy.
• Self-hosted
  You can run this system on your own computers, not only on the cloud.
• Run the engine
  You can run the engine with Docker or call it from Python code.
• Engine features
  It has features like belief lifecycle, multi-signal recall, and support for Postgres or pgvector databases.
• Fact growth issue
  Old facts stay in memory and can cause confusion unless managed properly.
• Memory management
  The system can remember facts, update them when they change, and store previous facts for reference.
• Open-source memory
  It is a free and open-source system that runs on your own servers to keep AI's memory correct and up-to-date.
• Quality challenges
  Over time, mistakes and outdated information can cause the AI's answers to become less reliable, especially if memory gets cluttered.
• Handling changing facts
  When users change their information, the system updates the facts but can still recall older facts if needed.
• Reconciliation of facts
  The system helps AI handle multiple facts and resolve contradictions so responses stay correct.
• Memory that stays correct
  The memory updates when facts change, so the AI always knows the latest facts.
• Problem of memory accuracy
  If agents remember everything, they can get confused with outdated facts, which makes their memory less accurate over time.

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