Swarm AI Coordination
Join a decentralized AI swarm with on-chain model weights and collaborative intelligence
Decentralized Learning
Contribute to and benefit from collective robot intelligence
AI Models
Access specialized AI models for different robot types
Developer Tools
Tools and SDKs for integrating with the swarm
How Swarm AI Works
Understanding the decentralized learning process
MechaMesh's Swarm AI is a decentralized artificial intelligence system that enables robots to learn collectively while preserving privacy and autonomy. Unlike traditional centralized AI systems, our approach stores model weights on-chain and allows for collaborative intelligence across the network.
Federated Learning
Robots train models locally and share only the model updates, not the raw data, preserving privacy while improving collective intelligence.
On-chain Model Storage
Model weights are stored on Solana, ensuring transparency, immutability, and fair attribution for contributions to the model.
Key Benefits
- Improved performance through collective learning
- Privacy-preserving data sharing
- Reduced training time and computational requirements
- Fair compensation for data and model contributions
- Specialized models for different robot types and tasks
Swarm Stats
Your Contribution
Not Contributing Yet
Connect your robots to start contributing to the swarm and earning rewards.