a2a-gateway

therealpan
3
Open-source gateway to make AI agents interoperable using Google's A2A protocol – like Hugging Face, but for agents.

Overview

What is a2a-gateway

A2A Gateway is an open-source infrastructure that enables interoperability between AI agents (such as Claude, GPT, and local LLMs) using Google's A2A protocol. It aims to standardize collaboration among public, federated, autonomous, and open agents, similar to how Hugging Face unified access to AI models.

How to Use

To use A2A Gateway, install the CLI with 'pip install a2a-gateway'. You can start a demo agent using 'a2a run --agent demo-gpt', publish your agent with 'a2a publish --file agent_card.json', and send tasks to agents using 'a2a task --to agent-weather --input "What is the weather forecast for tomorrow in Milan?"'.

Key Features

Key features of A2A Gateway include exporting agents as A2A endpoints, creating and sharing Agent Card JSON, managing tasks between agents via CLI, publishing and discovering agents through a public registry, and monitoring activities through a beta dashboard.

Where to Use

A2A Gateway can be used in various fields where AI agents need to collaborate, such as customer service, content generation, data analysis, and any domain requiring the integration of multiple AI systems.

Use Cases

Use cases for A2A Gateway include multi-agent systems for translation (e.g., agent-gpt-translator), summarization (e.g., agent-claude-summarizer), and weather forecasting (e.g., agent-weather), as well as any scenario where tasks need to be distributed among different AI agents.

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