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?