#AutonomysNetwork , developed within the #SocialMining ecosystem of @DAO Labs , announced a new protocol-level collaboration with SpoonOS. Such an integration is a step in the direction of standardized, auditable, and permanent agent infrastructure that may transform the practice of developing AI3.0.
Auto Drive -- permanent storage layer intrinsic to Autonomys has become part of the SpoonOS framework. Through this mechanism, agent developers can store memory, context, and interaction history on-chain, using the Model Context Protocol (MCP). It provides an accountable alternative to off-chain memory management, as well as the possibility of more transparent AI.
Better integrating this is the dedication to agent interoperability. As the SpoonOS becomes a part of the more encompassing AI3.0 world, soon the agents created through it will be able to work simultaneously with Auto Agents through a common interoperability standard. This gets rid of the years-long problem in AI coordination set, data isolation among agents.
Inside the #AutonomysHub , readers are invited to analyze and monitor on the long-term effects of such infusion through our Social Mining contributors. Instead of promoting shallow changes, this project gives value to deep research, impact measurement, and ecosystem literacy. This is what makes Autonomys different to trends driven networks.
In Autonomys, the DSN, together with the Auto Drive comprises of a technical infrastructure in which developers make modular, private and scalable AI agents. The partnership is the fulfillment of the original DSN vision, as the Autonomys Ecosystem Lead explained to Cointelegraph: Today, the default is the ability to have the memory of agents on-chain because there is accountability for what was done, and reproducibility in AI workflows.
This target will not be the end, but a stepping-stone towards a layered AI3.0 future based on interaction powered by DAO.
