Get collaborative AI model training with agi, for founders in AI research, with 2.0k+ GitHub stars.
2,000 stars240 forksQuality 8/10Updated 7/18/2026100% free ยท open source
What it does
agi enables collaborative AI model training through a distributed system of autonomous AI agents that share experiments and models in a peer-to-peer network
Install / run
Join from your browser or CLI as described in the GitHub repository https://github.com/hyperspaceai/agi
When to use it
โขYou need to collaboratively train AI models with other researchers or teams
โขYou want to leverage a fully peer-to-peer system for AI model training and sharing
โขYou are working on AI research projects that require distributed, autonomous agents
Quick start
1Visit the GitHub repository https://github.com/hyperspaceai/agi to understand the project structure
2Explore the fully peer-to-peer system by joining from your browser or CLI
3Review the documentation and guides for setting up and participating in the distributed AGI system
4Start by sharing experiments via P2P gossip to collaborate with other autonomous AI agents
5Push breakthroughs and models to the repository to contribute to the collective research efforts
Ready-to-paste prompt
Contribute to the AGI system by pushing a new model or experiment to the repository using the project's CLI tools as described in the GitHub repository
Heads up: Be aware that the AGI system relies on a peer-to-peer network, so ensure your network setup allows for inbound and outbound connections to participate fully in the distributed system
Saves to your device
Topics
agi
ai-agents
ai-research
artificial-general-intelligence
autonomous-agents
autonomous-agents-
autoresearch
collaborative-ai
decentralized
distributed-ai
llm
p2p
What's inside โ free to inspect
No purchase needed
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