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Agent2Agent Protocol
The A2A protocol lets different AI agents communicate, collaborate, and work on complex tasks together.

About Agent2Agent Protocol
The Agent2Agent (A2A) Protocol specification is the official technical documentation for an open standard that lets independent AI agent systems communicate and interoperate. It is designed for agents that may be built with different frameworks, languages, or by different vendors. The specification covers how agents discover each other's capabilities, negotiate interaction modes such as text, files, and structured data, and manage collaborative tasks.
The page is a specification for developers rather than a ready-to-use agent or hosted service. It describes protocol behavior, data models, and transport bindings. The stated security goal relies on standard web security practices, so the specification does not by itself guarantee security. Pricing is not stated.
Key features
- Agent discovery through Agent Cards, including signing and caching
- Synchronous request/response, streaming updates, and push notifications
- Multi-turn interactions and management of collaborative tasks
- File exchange and structured data exchange between agents
- Protocol bindings for JSON-RPC, gRPC, and HTTP+JSON/REST
- Authentication and authorization, including an OAuth 2.0 flow for extended Agent Cards
- Described as an open standard, intended for interoperability across different frameworks and vendors
- Supports long-running tasks and human-in-the-loop scenarios, according to its stated goals
- Defines several transport bindings, so implementers can choose the one that fits their stack
- Security depends on standard web security practices and is not guaranteed by the specification itself
Agent2Agent Protocol at a glance
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Agent2Agent Protocol alternatives
Tools and sites you could use instead, ranked by how closely they match.
EmbedAI builds chatbots and role-based AI agents that collaborate to solve tasks.
GPTConsole provides specialized AI agents that work on practical tasks over extended periods.
TERMINAL-BENCH benchmarks agent work through tasks and reports model resolution rates, costs, and token use.
Autohive lets teams create and run AI agents, with examples of agents that handle work tasks.
Gain control with LangGraph to design agents that reliably handle complex tasks.
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Agent2Agent Protocol FAQ
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