🚀 New Example: Personalized Search with Mem0 + Tavily Search assistants give very generic answers. Ask for “coffee shops nearby,” and you’ll get a list anyone could find. But what if your assistant remembered you? Imagine asking for coffee shops and getting results tailored

On Evaluating Memory for AI Agents There’s been a real surge in “memory” for AI agents lately. Most frameworks now prioritize persistent memory as a core feature. But how we actually evaluate that memory is still an open question. Because memory isn’t just about storing and

📣 For users building graph-based memory solutions, we're happy to announce that Kùzu is now integrated with mem0! You can now easily embed Kuzu into your mem0 application by updating your config as follows👇🏽 No additional setup required! 🧵 1/

🤝We have partnered with mem0 to build Memory Buddy – AI agent for Dementia Patient This demo shows you how to create helpful agents for assisting dementia patients, without dealing with complex tool integration or losing context between sessions:

memory as a service, for developers this team has been cooking…

Chatbot with Long-Term Memory🧠 Ever wanted your chatbot to remember context across sessions? Wait...developers are already solving this with mem0 Here’s a detailed guide from Philipp Schmid on building a Gemini 2.5 chatbot with long-term memory using Mem0 The guide

Two years ago, it was just my co-founder and me. I had just moved from India for the first time, and he had left his job at Tesla. Today, we’re building the future of AI memory with mem0. What started with just the two of us is now growing fast, and we’re looking for

Big congrats on the launch and $1M raise 🎉 We are proud mem0 is powering the memory for the world's first screen-free curiosity device for kids.

We crossed 40k GitHub stars⭐️

do customer success on weekends, build product on weekdays. visited one of our best customers mem0 - truly one of the strongest AI teams out there. grateful to learn from them and keep building together.

AI Agent Memory isn’t just bigger context windows It’s how agents actually learn, adapt, and evolve. Context windows only let a model see more of the conversation at once. Memory is different, it's what the agent keeps, updates, and recall the right parts to guide decisions.