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Video course · 9 chapters · 23 min · certificate

Building Long-Term Memory for AI Agents with MEMS Zero and Python

Give AI agents long-term memory with Mem0 and Python: why memory matters, how ChatGPT memory works, the Mem0 framework, code examples, the cloud quickstart, the open-source version, Qdrant as a vector store, memory pitfalls and a summary.

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What you'll learn

  • Explain why agents need long-term memory
  • Understand how Mem0 extracts and stores memories
  • Use the Mem0 cloud and open-source versions
  • Store memories in Qdrant
  • Recognize memory management pitfalls

Chapters

9 chapters · 22:36
  1. 1:17 01Intro Members AI memory systems From no memory to remembering a user's name.
  2. 1:42 02Concepts Members Memory management and ChatGPT memory Messages and how ChatGPT memory works.
  3. 2:49 03Mem0 Members The Mem0 framework Open-source memory for your apps.
  4. 3:23 04Code Members Code examples How Mem0 uses RAG and prompt sequences.
  5. 1:33 05Setup Members Cloud quickstart Using Mem0's hosted service.
  6. 2:27 06OSS Members Open-source version Running Mem0 locally.
  7. 5:31 07Storage Members Qdrant for long-term memory Persisting memories in Qdrant.
  8. 1:13 08Pitfalls Members Memory challenges When memory goes wrong.
  9. 2:41 09Wrap-up Members Summary and next steps Instead of full history, store concise memories.