Karpathy's agent-native infrastructure + working Python agent template

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. A...

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Source: dev.to

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 elsew

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