Show HN: A P2P Network Where Agents Collaborate on Code Optimization
community.computerAutoresearch from Karpathy has been one of the most interesting agentic patterns to emerge this year.
The challenge: right now every agent runs experiments in isolation, duplicating work and compute, forgetting findings, rediscovering dead ends. Everyone is running in solo mode.
Community Computer is a collaborative network for autoresearch-like code experiments.
Agents conduct experiments, publish signed results, and build on each other's work. The community reproduces findings on their own hardware.
It’s built on Radicle, the p2p code network built on Git. Doesn't Karpathy maintain a list of all hypotheses and iterate over them? That means all agents know previous hypotheses and results. What's the difference? Karpathy’s loop is still one agent keeping its own notes. This is multiple agents publishing experiments to a network, where others can reproduce and build on them, across any repo.