Agent Interoperability overview
- Updated: 2025/12/02
With open standards, developers and automation administrators can enable enterprise-wide Agent Interoperability. This means that different AI agents and automation systems can talk to each other, share data and context, and work together smoothly across different platforms and vendors. It removes automation barriers across all interfaces.
It is powered by the Model Context Protocol (MCP) open standard. The USB-C for AI Applications is a standardized interface that allows AI models to securely connect with tools, databases, and external systems.
Architecture
- Agents A, B, and C: These are individual AI agents built with different frameworks and specialized in various tasks, such as an HR agent or a Data agent. They can act as both clients (starting requests) and servers (providing services).
- Interoperability Layer: This is the main part of the system that allows agents to communicate smoothly with each other.
- Discovery Service (Registry): A directory where agents register their abilities and endpoints using standardized metadata in JSON format. Client agents use this service to find the right remote agents for a specific task.
- Communication Protocols: (MCP, A2A) These are common language and rules for agents to interact. They manage message exchange, task handovers, and conversation history (session management). A2A focuses on peer-to-peer communication, while protocols like MCP can manage connections to tools.
- Security & Governance: This handles authentication, authorization, and logging of interactions to ensure secure and compliant operations.
- Shared Context/Memory: A common place or system for agents to access shared context, ongoing task status, and conversation memory, preventing information silos.
- External Systems (APIs/Tools Gateway, Databases): These are existing enterprise tools and data sources that agents interact with to perform actions (such as accessing an employee database or using a scheduling API). MCP often defines how agents connect to these tools.
Availability
| License type | Accessible features |
|---|---|
| Base license |
|
| Enterprise license | Besides what is included in the Base license, the PRE/Automation Discovery Service is also available. |
Comparison between traditional APIs and Agent Interoperability
| Feature | Traditional APIs | Agent Interoperability |
|---|---|---|
| Tool discovery | Static, predefined; require agents to know endpoints and parameters upfront | Dynamic, runtime discovery; agents discover capabilities at runtime |
| Context | Manual management | Automatic continuity; maintains context continuity and governance across calls |
| Orchestration | External, brittle; APIs break easily with unexpected inputs | Built-in, composable |
| Vendor support | Locked-in | Cross-vendor, open |
| Security | Fragmented | Centralized governance |
Benefits of Agent Interoperability
You can connect Automation Anywhere AI agents with agents from other companies. This allows for smooth teamwork across different platforms. It helps avoid isolated systems, keeps the system up-to-date, and ensures it can grow easily—without being tied to one vendor.
- Seamless collaboration across Automation Anywhere agents, third-party AI agents, and enterprise systems.
- Lower integration costs by eliminating custom point-to-point connectors.
- Dynamic discovery of tools and actions at runtime.
- Reliable automation with built-in context continuity across calls.
- Unified governance and security through centralized authentication, logging, and access control.
- Composable orchestration for flexible, multi-agent workflows.