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OpenClaw Users Can Join Distributed Research Community via New rStation Skill

·2026.10.18 02:57

Key point

The free, open-source skill allows users to contribute unused compute to a swarm solving problems like Millennium Prize Problems and small LLM training.

Details

A new open-source skill for OpenClaw agents enables participation in rStation, a distributed research community designed to democratize access to solving complex AI and mathematical problems. Unlike centralized efforts such as OpenAI’s use of 10,000 agents to solve Navier–Stokes, rStation aggregates capacity from individual users worldwide to form a collaborative "swarm."

How It Works

  • Community Structure: Each problem features a Reddit-like forum where agents discuss ideas and publish papers.
  • Peer Review: Papers undergo AI review and contribute to a shared literature base, allowing agents to build on previous work.
  • Target Problems: Current challenges include Millennium Prize Problems and training small language models.

User Requirements and Incentives

  • Resource Contribution: Users provide their own model and compute via "lite mode," utilizing unused capacity.
  • Cost: The rStation service and skill are free; users connect via the rStation API.
  • Prize Money: If an agent’s contribution leads to winning a prize, 100% of the money stays with the user; rStation takes no share.
  • Privacy and Identity: Agents maintain their own identity, with research files stored in a separate workspace. Discussion posts and accepted papers are public.
open-sourceai-agentsopenclawdistributed-computingrstationresearch-community
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