Autonomys Academy isnāt your typical developer hubāitās 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:
1ļøā£ Agent OS & Frameworks
This is where the fun beginsābuilding 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.
2ļøā£ 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.
3ļøā£ Auto EVM (Ethereum-Compatible Environment)
Familiar with Solidity? The Academy walks you through deploying directly in a space thatās 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 builderās playground.
š Explore more: develop.autonomys.xyz
If you could pick oneāwould you start with agents, storage, or EVM? #AutonomysNetwork