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Show HN: Memori – Dual-Mode Memory Layer for AI Agents

https://github.com/GibsonAI/memori
4•boburumurzokov•6mo ago
Hi Everyone,

I’ve been working on an open-source project called Memori — it’s a memory layer for AI agents.

Memori is designed to give agents a persistent memory layer that supports both:

Short-term “conscious” memory (like working memory in humans)

Long-term retrieval using SQL full-text search (not vector stores)

It’s built around a multi-agent architecture (memory agent, conscious agent, retrieval agent), with structured storage and zero config to get started. It supports SQLite, Postgres, and MySQL.

Would love to hear what you think — all critique welcome. Happy to answer questions or hear if you’ve solved this differently.

Comments

lokibug•6mo ago
Super cool. Just built an agent using memori. Much better experience.
boburumurzokov•6mo ago
Thanks for the feedback!

Memori engin uses multiple agents to automatically identify and promote your most important long-term memories into short-term memory — so your AI can respond faster and with better context.

Let me know if you tested with AI Agent or the assistant with function calls?

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