Autonomys Network: 2024 Recap & 2025 Roadmap
Autonomys Network closed 2024 with major milestones, successfully launching Mainnet Phase-1 and expanding its Proof-of-Archival-Storage (PoAS) consensus. The farmer ecosystem continued to grow, reinforcing network sustainability. Looking ahead, Mainnet Phase-2 is set for Q1 2025, focusing on Auto EVM, cross-domain messaging (XDM), and developer onboarding.
Key Achievements in 2024
One of the standout innovations was 0xArgu-mint, the first on-chain AI agent with permanent memory. Unlike most crypto AI projects that rely on speculative tokens, Argu-mint accrues value directly to AI3, demonstrating a viable AI3.0 model.
Infrastructure advancements included a mainnet-ready Astral block explorer, Auto Drive UI/API improvements, and Auto SDK updates to enhance developer onboarding. These upgrades streamline interaction with the network and improve the developer experience.
Autonomys also expanded through key partnerships. FoxWallet integrated multi-chain support for a seamless user experience. Secret Network enabled decentralized confidential computing (DeCC) for privacy-focused AI-powered dApps. SEA DePIN helped strengthen Autonomys’ reach in the Asia-Pacific region, and a user acquisition campaign with the TON Foundation attracted new users.
Three Key Challenges
Despite progress, three major challenges remain:
➜ Scalability & XDM: Supporting 100+ shards requires seamless cross-domain interoperability and optimized performance.
➜ Developer Adoption: While Auto SDK and Auto Drive improve accessibility, driving long-term developer engagement remains a challenge.
➜ AI Agent Utility: The 0xArgu-mint AI agent is promising, but proving sustainable AI3 value accrual beyond speculation is critical.
Looking Ahead to 2025
With Mainnet Phase-2 approaching, priorities include Auto EVM deployment, XDM enhancements, and ecosystem expansion. By advancing AI-powered blockchain solutions and forming strategic collaborations, Autonomys is set to lead the next phase of AI3.0 and decentralized computing.