Autonomys Academy isn’t your typical developer hub—it’s more like a hands-on lab for Web3 builders who want to move from theory into practice. By exploring its lessons and examples, you start to see how storage, consensus, compute, and agents can all tie together in a working ecosystem.

Here are three areas that stood out to me:

1ïžâƒŁ Agent OS & Frameworks

This is where the fun begins—building AI-powered on-chain agents. Think of it as giving dApps the ability to act autonomously: monitor data, execute transactions, or even manage decentralized workflows. A practical project? An AI research curator that scans, validates, and archives data directly on-chain.

2ïžâƒŁ Auto Drive API (Storage Layer)

Web3 builders often hit bottlenecks with storage. Auto Drive shows how storage costs balance dynamically with supply and demand. Developers can learn to integrate transparent, scalable storage into their apps. Imagine building a decentralized content vault where creators keep ownership but share their work seamlessly.

3ïžâƒŁ Auto EVM (Ethereum-Compatible Environment)

Familiar with Solidity? The Academy walks you through deploying directly in a space that’s both EVM-compatible and AI-ready. This makes it easier for builders to port apps while experimenting with new AI features. A quick use case: a cross-chain lending dApp that uses Auto Agents for automated risk checks.

The best part? Every lesson is tied to something you can actually build. Autonomys Academy feels less like reading docs and more like a builder’s playground.

🔗 Explore more: develop.autonomys.xyz

If you could pick one—would you start with agents, storage, or EVM? #AutonomysNetwork