What is Autonomys Network (AI3)?

By CMC AI
16 November 2025 04:07AM (UTC+0)

TLDR

Autonomys Network (AI3) is a decentralized infrastructure stack designed to power AI3.0 applications with scalable storage, execution, and agent frameworks.

  1. Decentralized AI Infrastructure – Combines distributed storage, modular execution, and on-chain AI agent capabilities.

  2. Proof-of-Archival-Storage Consensus – Secures the network by rewarding users for contributing storage space.

  3. Dynamic Tokenomics – AI3 tokens incentivize participation via a 40-year issuance model and staking rewards.

Deep Dive

1. Purpose & Value Proposition

Autonomys aims to address AI’s reliance on centralized infrastructure by providing a decentralized alternative for data storage, computation, and agent deployment. Its distributed storage network ensures tamper-proof, permanent data availability—critical for transparent AI decision-making. The platform targets developers building "super dApps" (AI-powered decentralized apps) and autonomous agents that require verifiable on-chain memory and reasoning.

2. Technology & Architecture

The network uses Proof-of-Archival-Storage (PoAS), where participants ("farmers") earn AI3 tokens by pledging storage space to secure the blockchain. Execution is handled through Auto EVM, an Ethereum-compatible environment, and customizable domains (decentralized execution layers). The Auto Agents Framework lets developers create AI agents with on-chain memory, enabling persistent, auditable interactions.

3. Tokenomics & Governance

AI3’s supply follows a 40-year dynamic issuance model to balance inflation and incentives. Users earn tokens through:
- Farming: Contributing storage via lightweight hardware.
- Staking: Participating in network security via the Guardians of Growth program.
- Ecosystem Grants: Rewarding developers building AI-native tools.
The Subspace Foundation oversees token listings and governance, emphasizing decentralization through community-driven initiatives.

Conclusion

Autonomys positions itself as a foundational layer for decentralized AI, merging storage, compute, and agent frameworks into a unified stack. Its focus on accessibility (low hardware requirements) and verifiability addresses critical gaps in AI infrastructure. As quantum computing advances, can Autonomys’ post-quantum research ensure its architecture remains resilient while scaling to meet AI3.0 demands?

CMC AI can make mistakes. Not financial advice.