Memori
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and
Create a memory system for AI agents that keeps track of their actions and conversations.
From the README
npm install @memorilabs/memori
- entity: think person, place, or thing; like a user
- process: think your agent, LLM interaction or program
- session: the current interactions between the entity, process and the LLM
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeMemori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and
Memori has 16.3k stars on GitHub. It has been forked 3.3k times. Memori is written mainly in Python. It has been in active development since 2025. Its main topics are agent, agent-memory, agenticai, ai.
What is Memori?
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and
Is Memori open source?
Memori is an open-source project.
Is Memori free?
Yes. Memori is free and open source — you can use, modify and self-host it.
What language is Memori written in?
Memori is written mainly in Python.
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