Memori and mem0

These are direct competitors offering similar SQL-based persistent memory infrastructure for LLMs and agents, though mem0 has achieved significantly greater adoption despite reporting zero PyPI downloads (suggesting alternative distribution channels).

Memori
75
Verified
mem0
69
Established
Maintenance 20/25
Adoption 11/25
Maturity 24/25
Community 20/25
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 12,351
Forks: 1,112
Downloads:
Commits (30d): 45
Language: Python
License:
Stars: 49,646
Forks: 5,542
Downloads:
Commits (30d): 189
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

About Memori

MemoriLabs/Memori

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

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.

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

About mem0

mem0ai/mem0

Universal memory layer for AI Agents

Mem0 gives your AI assistants a long-term memory so they can offer personalized interactions and remember past conversations. It takes your existing AI assistant and equips it with the ability to recall user preferences, past interactions, and historical data, making your AI more consistent and tailored over time. This is for anyone creating or managing AI assistants, such as customer support managers, healthcare providers using AI for patient care, or developers building intelligent game characters.

AI assistants customer support healthcare AI personalized recommendations chatbot memory

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