Tip: Max 10 parallel tasks supported.
Insights, updates, and stories from the MemU team
MemU TeammemU 1.0.0 is a memory infrastructure built specifically for agents — evolvable, maintainable, and designed for long-term use. It provides a long-term memory system that humans can manage, agents can understand, and agent capabilities can evolve over time.
MemU TeamIn modern automation pipelines, logs are far more than a record of “what happened.”If logs can be interpreted, structured, distilled, and transformed into reusable knowledge, every failed or successful deployment becomes fuel for the next flawless release.
TEN FrameworkMemU TeamIn this tutorial, you’ll build a real-time voice agent with memory, powered by TEN Framework and memU, that remembers your name, preferences, and past conversations.
MemU TeamOne day I was chatting with ChatGPT about my work. I told it I’m a backend developer, and I recently started contributing code to a Python CLI tool. I also said I want to build a tool for API testing and docs management, and I will start a prototype in the next few months. Another time, I suddenly wanted to visit San Francisco. When I told ChatGPT, it started asking what I like. I said food and nature, and I also want to visit some tech companies. My partner likes photography and museums. Then we talked about Muir Woods, vegan restaurants, morning running routes… Later, because I’m in charge of a big product launch next month, I got very stressed and couldn’t sleep. When ChatGPT heard that, it started talking with me about ways to relax, sleep habits, and how to set boundaries between work and life.
MemU TeamOver the past few years, AI has been all about understanding and generation. Models have become better at language, better at writing, and even better at art. But a deeper question has emerged: If AI can only respond, it remains passive. If AI can think proactively, it becomes a true assistant.
MemU TeamHacktoberfest is here again — the global celebration of open source! We’re excited that memU is joining this year and ready to welcome new contributors. Come join Hacktoberfest and memU, and let’s collaboratively build smarter AI agents with long‑term memory through open source.
MemU TeamOne call = Response + Memory. Discover the groundbreaking solution that makes AI truly remember every interaction without requiring you to re-architect your entire system.
MemU TeamEver felt that AI interactions could be so much more? That with true AI Memory, they could truly understand us? You're not alone. We believe the future of AI is personal, contextual, and profound, but we can't build it alone. ✨
MemU TeamMaster the art of implementing short-term and long-term memory systems for your LLM agents. This comprehensive guide covers best practices, implementation patterns, and optimization strategies for the MemU memory management system.
MemU TeamBefore reading this article, please refer to our documentation for definitions of key terms used in MemU.
MemU TeamWith MemU, you can build AI applications that truly remember their users. They learn preferences, context, and patterns, growing smarter with every interaction.
MemU TeamCurrent AI memory solutions face scalability challenges. They rely on explicit modeling — manually telling the system which memories matter and which don't.
