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

https://github.com/GibsonAI/memori

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.

( 2 comments | on HN )
Re:Show HN: Memori – Dual-Mode Memory Layer for AI Agents by lokibug on Thursday August 07, 2025 @08:22AM (#44823527)
Super cool. Just built an agent using memori. Much better experience.
Re:Show HN: Memori – Dual-Mode Memory Layer for AI Agents by boburumurzokov on Thursday August 07, 2025 @01:27PM (#44827474)
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?