Deploying an A2A server for your agent makes it easier to interface and compose with agents written in different frameworks and languages, or within different apps and devices. But manually creating an A2A server involves some friction. We believe that, to deploy an existing agent that you’ve built as an A2A server, you shouldn’t need to be a backend engineer. That’s why we built AutoA2A. If you've built agents with CrewAI, LangGraph, LlamaIndex, OpenAI’s Agents SDK or Pydantic AI, you can now turn it into an A2A server without modifying any project code. Just add the autoa2a library to your project, run our CLI, and we’ll scaffold the project as an A2A server. Make some edits to indicate the agent you want to convert (and the input schema) and you're ready to deploy locally or on our hosted platform. Deploying your agent on our platform - for the world to use - takes just a few clicks: 🖥️ Paste the GitHub repo of a project you've added autoa2a to ⚡ Click deploy 🔗 Get a live A2A server URL It’s like Vercel or Heroku — for AI agents. 🎥 Try the library, use the deployment platform and watch the demo: https://auto-a2a.ai We’d love to hear your feedback on the library, what you're building, and what you want to build next.

AutoA2A: Convert Agents to A2A Servers

Easily Deploy Your Existing AI Agent Projects as A2A Servers

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