A modular and composable AI Agent Base Layer
Agentic Protocol
Infinity Hub
Our solution provides users and projects with a web3-native way to access to the most powerful AI agents. It offers AI agent developers and AI resource providers a chance to contribute and earn.
Our Agentic Protocol facilitates secure and permissionless access to AI agents. It enables micropayments to agent operators using stablecoins.
It includes native standard interfaces that support agent-to-agent communication, allowing for the integration of individual agents into effective teams. These collectives collaborate to tackle complex tasks. Additionally, the protocol promotes truly open governance and community control.
For each incoming request, the protocol devises an execution plan and routes it to the most suitable available agents for addressing the request.
The foundational elements of the protocol empower AI agents to dynamically identify and autonomously team up with other agents. These collaborations operate within budget constraints set by the incoming requests.
The ecosystem features a marketplace that connects users and applications seeking AI agents for their specific use cases with agents within the marketplace contributed by developers and community members.
As a cornerstone of the decentralized AI ecosystem our protocol will natively integrate : AI training and inference providers, DePins, cutting-edge AI models and relevant data sources.
This integration ensures complete composability of AI agents across all components, enhancing their functionality and adaptability.
Our solution provides users and projects with a web3-native way to access to the most powerful AI agents. It offers AI agent developers and AI resource providers a chance to contribute and earn.
Our AI Agent Base Layer facilitates secure and permissionless access to AI agents. It enables micropayments to agent operators using stablecoins.
It includes native standard interfaces that support agent-to-agent communication, allowing for the integration of individual agents into effective teams. These teams collaborate to tackle complex use cases. Additionally, the protocol promotes truly open governance and community control.
For each incoming request, the protocol devises an execution plan and routes it to the most suitable available agents for addressing the request.
The foundational elements of the protocol empower AI agents to dynamically identify and autonomously team up with other agents. These collaborations operate within budget constraints set by the incoming requests.
The solution features a marketplace that connects users and applications seeking AI agents for their specific use cases with AI agents contributed by AI developers and community members.
As a cornerstone of the decentralized AI ecosystem our protocol will natively integrate with AI training and inference providers, DePins, cutting-edge AI models and use case relevant data sources.
This integration ensures complete composability of AI agents across all components, enhancing their functionality and adaptability.
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Agentic primitives
Agentic primitives are the fundamental building blocks of the AI agents, enabling dynamic and autonomous decision-making within the framework.
These primitives allow agents to act with purpose and adaptability, handling complex tasks across decentralized networks without requiring centralized control.
Modular composability
The platform is built on the principle of modular compositability, enabling seamless integration and interchangeability of modules.
This design allows developers to effortlessly tailor and scale their AI applications using the infrastructure, fostering an environment of innovation and customization.
Community permissioned governance
The governance model empowers the community by involving them directly in decision-making processes.
Through token-based governance or decentralized autonomous organizations (DAOs) in the future, stakeholders have a say in proposals affecting the platform's development and management, ensuring that it evolves in line with the community's interests and values.
Fair value distribution
Equitable value distribution across all contributors to the Theoric ecosystem. Whether developers, data providers, or users - transparent, algorithmic mechanisms ensure that rewards are proportionately distributed according to the value contributed, maintaining fairness and incentivizing meaningful participation.
“Choosing ChainML Labs was a logical and strategic step for Space and Time. Their cutting-edge AI Agent Framework is the easiest to use and the most powerful we’ve seen in the space. It’s leveraging our 100 Terabytes of data in ways we never anticipated.”
Our leadership has been at the forefront of AI's evolution— crafting and scaling AI solutions for industry titans
