Agent2Agent

Contribute to a2a-community/a2a-ui development by creating an account on GitHub.

Repo migrated to a2a-community ogranization https://github.com/a2a-community/a2a-ui - egor-baranov/a2a-ui

A2A (Agent2Agent Protocol) and ACP (Agent Communication Protocol) represent two mainstream technical approaches in AI multi-agent system communication: 'cross-platform interoperability' and 'local/edge autonomy' respectively. A2A, with its powerful cross-vendor interconnection capabilities and rich task collaboration mechanisms, has become the preferred choice for cloud-based and distributed multi-agent scenarios; while ACP, with its low-latency, local-first, cloud-independent characteristics, is suitable for privacy-sensitive, bandwidth-constrained, or edge computing environments. Both protocols have their own focus in protocol design, ecosystem construction, and standardization governance, and are expected to further converge in openness in the future. Developers are advised to choose the most suitable protocol stack based on actual business needs.

Weights & Biases, developer tools for machine learning

An example showing how A2A and MCP can be used together - ishanExtreme/a2a_mcp-example

Learn about Google's Agent2Agent (A2A), an open protocol for AI agent collaboration across different systems.

Weights & Biases, developer tools for machine learning

I recently published a blog post on how to get started with the official A2A demo. In it we explored the capabilities of A2A and how it helps AI agents, potentially built with different frameworks…

The Agent2Agent Protocol now has support from more than 50 major technology partners, including Atlassian, Salesforce, and Deloitte. This represents a transformation in AI agent communication methods.