<p align="center">
<a href="https://github.com/mem0ai/mem0">

</a>
</p>
<p align="center" style="display: flex; justify-content: center; gap: 20px; align-items: center;">
<a href="https://trendshift.io/repositories/11194" target="blank">

</a>
</p>

<p align="center">
<a href="https://mem0.ai">Learn more</a>
·
<a href="https://mem0.dev/DiG">Join Discord</a>
·
<a href="https://mem0.dev/demo">Demo</a>
·
<a href="https://mem0.dev/openmemory">OpenMemory</a>
</p>

<p align="center">
<a href="https://mem0.dev/DiG">

</a>
<a href="https://pepy.tech/project/mem0ai">

</a>
<a href="https://github.com/mem0ai/mem0">

</a>
<a href="https://pypi.org/project/mem0ai" target="blank">

</a>
<a href="https://www.npmjs.com/package/mem0ai" target="blank">

</a>
<a href="https://www.ycombinator.com/companies/mem0">

</a>
</p>

<p align="center">
<a href="https://mem0.ai/research"><strong>📄 Building Production-Ready AI Agents with Scalable Long-Term Memory →</strong></a>
</p>
<p align="center">
<strong>⚡ +26% Accuracy vs. OpenAI Memory • 🚀 91% Faster • 💰 90% Fewer Tokens</strong>
</p>

> 🎉 mem0ai v1.0.0 is now available! This major release includes API modernization, improved vector store support, and enhanced GCP integration. See migration guide →

🔥 Research Highlights

+26% Accuracy over OpenAI Memory on the LOCOMO benchmark

91% Faster Responses than full-context, ensuring low-latency at scale

90% Lower Token Usage than full-context, cutting costs without compromise

Read the full paper

Introduction

Mem0 ("mem-zero") enhances AI assistants and agents with an intelligent memory layer, enabling personalized AI interactions. It remembers user preferences, adapts to individual needs, and continuously learns over time—ideal for customer support chatbots, AI assistants, and autonomous systems.

Key Features & Use Cases

Core Capabilities:

Multi-Level Memory: Seamlessly retains User, Session, and Agent state with adaptive personalization

Developer-Friendly: Intuitive API, cr

... [truncated — view full README on GitHub]