AIP (Agent Interoperability Protocol)

AIP serves as the core protocol of the system, designed to facilitate efficient collaboration and communication among multiple agents (Agent). It establishes a scalable and predictable ecosystem for agent collaboration by standardizing interaction processes, ensuring secure authorization, integrating large language model (LLM) capabilities, and managing resources and tools.

Agent Collaboration and Communication

• Standardizes information exchange and task execution processes among agents, ensuring consistency and predictability.

• Implements centralized coordination and control through the Agent Hub, optimizing task allocation and collaborative efficiency.

Security and Permission Management

• Utilizes blockchain-based identity authentication and permission verification, ensuring that only authorized agents can access shared resources (such as memory, tools).

• Records on-chain contracts (such as account information, read/write permissions, timeout mechanisms) to enhance transparency and tamper resistance.

Resource and Configuration Management

• Global Memory Management: Stores agent configurations, dialogue history, prompt information, and supports cross-task state sharing.

• Configuration Management: Dynamically adjusts agent parameters to optimize query processing and operational efficiency.

• Decentralized Data Storage: Prevents data loss through distributed backups.

LLM Integration and Tool Invocation

• Supports direct invocation of agent tools by large language models (LLM), extending model functionalities (such as complex task decomposition and execution).

• Provides two protocols, aip-grpc (high flexibility communication) and aip-sse (low-latency direct access), to adapt to different scenario requirements.

• Supports dynamic registration, discovery, and asynchronous execution of tools (including parameter validation and result feedback). Through modular design and blockchain technology, AIP constructs a secure, efficient, and scalable framework for agent collaboration, providing infrastructure support for the implementation of distributed AI systems.