Agent Interoperability Protocol
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An Agent Interoperability Protocol is an interoperability protocol that is an agent communication protocol enabling cross-platform agent interaction, capability sharing, and coordinated task execution between heterogeneous agent systems from different vendors (through standardized interfaces).
- AKA: Cross-Agent Communication Protocol, Agent Integration Protocol, Multi-Vendor Agent Protocol, Agent Compatibility Standard.
- Context:
- It can typically define Message Format Standards through schema specification, serialization formats, and encoding rules.
- It can typically establish Service Discovery Mechanisms via agent registry, capability advertisement, and endpoint resolution.
- It can typically implement Authentication Protocols through identity verification, credential exchange, and trust establishment.
- It can typically specify Capability Negotiation Processes for feature matching, version compatibility, and fallback mechanisms.
- It can typically provide Error Handling Conventions via exception formats, retry policy, and failure recovery.
- ...
- It can often enable Cross-Platform Tool Sharing through function signatures, parameter mapping, and result transformation.
- It can often support Workflow Orchestration Standards via task delegation, execution monitoring, and result aggregation.
- It can often facilitate Knowledge Exchange Formats through ontology alignment, semantic mapping, and data transformation.
- It can often implement Performance Optimization Features via load balancing, caching strategy, and connection pooling.
- ...
- It can range from being a Lightweight Protocol to being a Comprehensive Protocol, depending on its feature complexity.
- It can range from being a Synchronous Protocol to being an Asynchronous Protocol, depending on its communication pattern.
- It can range from being a Binary Protocol to being a Text-Based Protocol, depending on its encoding format.
- It can range from being a Proprietary Protocol to being an Open Standard Protocol, depending on its governance model.
- ...
- It can be implemented through Agent2Agent Protocol for Microsoft ecosystem.
- It can utilize Model Context Protocol (MCP) for context sharing.
- It can leverage FIPA ACL Protocol for formal communication.
- It can interface with AI Agent Communication Protocols for message exchange.
- It can support Multi-Agent Development Frameworks through integration layers.
- ...
- Example(s):
- Microsoft Agent2Agent Protocol, enabling cross-vendor agent communication.
- OpenAI Function Calling Standard, providing tool invocation interface.
- Enterprise Protocol Implementations, such as:
- Domain-Specific Protocols, such as:
- ...
- Counter-Example(s):
- Proprietary Agent API, which lacks cross-vendor support.
- Internal Message Format, which lacks standardization.
- Single-Vendor Protocol, which lacks interoperability design.
- See: Agent2Agent Protocol, Model Context Protocol, AI Agent Communication Protocol, NLWeb Protocol, Multi-Agent System, API Standard, Protocol Specification.