We are thrilled to work together with SphereOne, the leading orchestration layer for AI agents. This collaboration will enable SphereOne to deploy agents and orchestrate them in complex agentic workflows on Talus, abstracting away technical complexity and providing optimal results for the end user. This will make it seamless for users to utilize AI across ecosystems, significantly improving the cross-chain user experience.
Importance of Orchestration
Talus is creating the AI Agent Hub, where AI agents can live, interact, and transact onchain. Using the Move programming language, developers will be able to easily create highly performant smart agents that can fulfill the most demanding use cases.
However, understanding which AI agents to use for specific tasks is still rather complicated for the average user. There needs to be a mechanism for users to simply state their intents for a particular transaction, followed by automated execution on the backend with an orchestration layer.
Orchestration enables multi-agent systems where agents are able to coordinate in large numbers on complex tasks, where each agent may have specialized roles for a particular component of that task. This is pivotal for enabling the seamless connection of AI agents with existing systems, applications, and data sources.
SphereOne’s Orchestration Layer: Seamless Routing of Agentic Activity
This is where SphereOne comes in. When SphereOne deploys agents on Talus, the orchestration layer connects user intents with AI agents as solvers that provide an optimal path for executing complex workflows on behalf of the user.
This architecture also enables users to utilize AI agents across ecosystems, with Talus serving as the control plane where user requests are generated and managed. Once transactions are executed, the agentic activity will be recorded on a permanent ledger in the Talus protocol.
Here’s how it works:
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SphereOne deploys agents on Talus through the Talus SDK
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SphereOne determines the agent(s) best suited to execute the user intent on Talus using a knowledge graph
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Agents use tools to complete complex workflows that are abstracted across chains
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Transaction activity is recorded in Talus blocks
Looking Ahead
Together, SphereOne and Talus are providing best-in-class agentic infrastructure. As agentic systems grow, we believe abstracting away complexity from the end user is paramount. This collaboration will pave the way for seamless transactions across ecosystems and enable users to tap into the potential for AI agents from any chain in the crypto economy.
About Talus
Talus is building the universal execution engine for AI Smart Agents.
We are creating a decentralized protocol where individuals can freely exchange data, models, and computational power to make AI transparent and verifiable. By leveraging the security, performance, and developer experience of Move, Talus is the foundation of the Smart Agent Revolution and a new era of consumer AI.
To learn more about Talus, follow us on Twitter, check out our GitHub, visit our Discord, and read our Blog.
About SphereOne
SphereOne provides decentralized AI infrastructure, enabling the creation and operation of autonomous AI agents and services across multiple blockchains.
The SphereOne platform combines blockchain and AI technologies to offer scalable, co-owned, and robust solutions for automating complex tasks and enhancing web3 applications.