Autonomys is excited to announce an infrastructure partnership with STP that will integrate our distributed storage network (DSN) into their Autonomous Worlds Engine (AWE) for large-scale multi-agent simulations. This integration will enable AWE to utilize the unique consensus mechanism and blockspace of the Autonomys DSN, providing data decentralization for Web2 projects in addition to those that are natively Web3.
“Decentralized storage is a vital component to building AI-driven Autonomous Worlds and incorporating Autonomy’s distributed storage network into AWE will bring us one step closer to building a truly decentralized AI-native ecosystem.” Mike Chen, Co-Founder of STP
“We’re excited that AWE has chosen Autonomys to handle the decentralized data requirements for their multi-agent simulations. With our Nakamoto-style consensus and ample blockspace, we’re confident in our ability to deliver a truly uncompromising, Web3-native storage solution. We look forward to supporting their data storage needs today-and to pursuing deeper experimentation together across agentic frameworks, MCP, and other future lines of innovation.” Amik Ahmad, Head of Product at Autonomys
STP is opening the portal to Autonomous Worlds, where AI agents collaborate, adapt, and evolve in self-sustaining environments. The Autonomous Worlds Engine (AWE) is a modular framework enabling the creation of scalable, persistent AI-driven worlds for agent-agent and human-agent collaboration. AWE scales interactions between thousands of autonomous agents using parallel processing, dependency management and GPU-optimized workloads.
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The Autonomys Network — the foundation layer for AI3.0 — is a hyper-scalable decentralized AI (deAI) infrastructure stack encompassing high-throughput permanent distributed storage, data availability and access, and modular execution. Our deAI ecosystem provides all the essential components to build and deploy secure super dApps (AI-powered dApps) and on-chain agents, equipping them with advanced AI capabilities for dynamic and autonomous functionality.
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