Show HN: An Open-Source Structured Memory Back End (Like ChatGPT Memory)

Most memory solutions just do RAG search on chat logs. That's not real memory. We want a real memory that could understand a user and grow with them, not just search their past chats.

Memobase works like ChatGPT memory, specially designed for chatbot agents. It's personalized and scales to millions. Retrieval latency is under 80ms. ( 85% score on LOCOMO Temporal Benchmark https://github.com/memodb-io/memobase/tree/main/docs/experim...

- Profile + Timeline schema — not complex embedding. - Context API — full system prompts for evolving & personalized LLM responses. - Built with FastAPI, Postgres, Redis — ready for production.

Check it out on GitHub: https://github.com/memodb-io/memobase