After OpenClaw, This Collective-Evolution AI Project Is on Fire!
SkillClaw lets AI agents automatically learn, share, and evolve skills across teams. Zero extra effort.
In the field of AI agents, one persistent issue has long troubled us:
Every time you use an Agent, you inevitably run into various problems. You spend half a day finding a solution, only for that hard-earned experience to remain stuck in the current session. The next time you switch scenarios or devices, you have to start all over again.
This is even worse in team collaboration — the pitfalls that Zhang San steps on still have to be stepped on again by Li Si. Time and energy are wasted on repeated trial and error.
Recently, the machine learning team at AMAP (Gaode Maps) released an open-source project that perfectly solves this problem.
They gave it a vivid name: SkillClaw.
The core idea of this project is simple: let agents automatically learn and accumulate skills from every interaction, then share those skills across devices, across agents, and even across teams — achieving collective evolution.
