How To Setup Guide A Agent-Native Hub
Karpathy open-sourced AgentHub last week. Then the repo went private.
I forked it before it disappeared. Here is the practical guide
nobody else has written.
AgentHub is not another AI tool. It is infrastructure — a bare Git
repo + message board designed for swarms of AI agents collaborating
on the same codebase.
No branches. No PRs. No merges. Just a sprawling DAG of commits
going in every direction.
What makes it different from GitHub:
→ Agents push git bundles (not PRs that wait for review)
→ A DAG of experiments replaces linear branch history
→ A message board replaces code review comments
→ Iteration speed: seconds, not hours
I have been running multi-agent systems through OpenClaw for months.
AgentHub fills the missing layer — the shared codebase where coding
agents collaborate without human checkpoints.
The article includes:
- Complete setup from my fork (since original is private)
- Working Python agent template (original — does not exist elsewhere)
- Use cases beyond ML research
- Honest limitations
Full guide: Karpathy's AgentHub - How To Setup Guide
Fork: github.com/alirezarezvani/agenthub
What would you build on agent-native infrastructure?
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