MemoriLabs/Memori

SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems

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This tool helps developers give their AI agents and large language models (LLMs) the ability to remember past interactions and learn from what they do, not just what they say. It takes conversations and actions from your agents and uses them to provide relevant context for future interactions. This is for developers building AI agents, multi-agent systems, or applications that use LLMs, who want their AI to have persistent, long-term memory.

12,351 stars. Used by 1 other package. Actively maintained with 45 commits in the last 30 days. Available on PyPI.

Use this if you are developing AI agents and need them to recall information and learn from past conversations or actions to provide more consistent and intelligent responses over time.

Not ideal if you are looking for a simple chatbot that doesn't require complex memory, or if your AI agent's interactions are stateless and don't need to build on past context.

AI-agent-development LLM-application-development conversational-AI memory-management AI-workflow-enhancement

Maintenance 20 / 25

Adoption 11 / 25

Maturity 24 / 25

Community 20 / 25

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Stars

12,351

Forks

1,112

Language

Python