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@HuaxiuYaoML

Meet MetaClaw πŸ¦žβ€” Just talk to your agent, it learns and evolves. πŸ’¬ Conversations become training trajectories ⚑ Models update live with hot-swapped weights 🧠 Failures generate new reusable skills πŸ’» No GPU cluster required Under the hood: πŸ”„ Online SkillRL training Training runs asynchronously while the model continues serving. 🐚 Skill evolution When the agent fails, an LLM analyzes the trajectory and generates new reusable skills. πŸ“Œ Skill injection Relevant skills are retrieved and injected into the system prompt at each step to guide behavior in real time. Built on Kimi-2.5 via Tinker cloud LoRA β†’ fine-tuning costs about $10 and requires no GPU cluster πŸ’» Fully open-sourced https://t.co/RR24ZJvZ7T Built with @openclaw and @thinkymachines Kudos to the team @richardxp888, Jianwen Chen, @Xinyu2ML, @lillianwei423, @StephenQS0710, Zeyu Zheng, @cihangxie!

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