Agent Compatibility
Between Agents & Across Webs â Agent Compatibility.
Protocol AI is a complex multi-agent collaboration platform. Multiple specialized AI agents work together to achieve complex goals by dividing tasks, sharing information, and coordinating their actions. Agents need to transfer data and value between one another and with the external environment (beyond the Protocol AI platform) to achieve the objective of the user.
Considering this, the agents must be characteristically interoperable. Internally, Protocol AI architecture is designed to standardize the way agents share information, coordinate decisions, and report status updates.
Protocol AI Agent Network Architecture
Protocol AI multi-agent system includes the following components:
Shared Environment:
Shared environments include a communication layer, storage & database that acts as the medium where agents interact for state awareness.
Coordination Frameworks:
Decentralized Coordination: Agents independently negotiate responsibilities, leveraging protocols, like distributed task allocation.
Specialized Agents: Based on user prompts, agents optimize for a specific function or task.
Event Agent: Observes blockchain activity and identifies relevant events.
Transaction Agent: Signs and submits transactions based on predefined strategies.
Reporting Agent: Aggregates data into dashboards, analytics, or DAO reports.
Protocol AI agents maintain Web2 interactions via oracles and other standard API infrastructure to handle tasks, which require fetching off-chain data and results delivery.
$PROAI technical architecture takes an approach that unlocks a wide scope of protocol use cases for the pAgents, unlocking an opportunity for builders to flex their imagination.
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