a2a-bridge

Agent-to-agent communication enables autonomous agents to discover peers, exchange capability information via Agent Cards, and execute structured task lifecycles using validated A2A messages like task assignments and status updates. This ensures secure, coordinated collaboration across multi-agent systems.

An Agent Card is a structured format for exchanging capability information between autonomous agents. You validate it using a dedicated script to parse and match capabilities, allowing the system to effectively route and allocate tasks to the most suitable peer agent.

You discover peer agents by running a network scan script to locate nearby collaborators. Once discovered, you create and assign tasks through structured A2A message exchange, managing the full task lifecycle from creation to completion.

Yes, you can manage the task lifecycle across multiple agents using Python scripts. The system requires only the requests library to create, assign, update, and complete tasks, facilitating structured task management and validated message exchange.

The A2A protocol implementation focuses on local network agent discovery, Agent Card validation, and structured task lifecycle management. It operates at an intermediate implementation depth and is limited to coordinating autonomous agents within local network environments.

You only need to install the Python requests library to enable structured task lifecycles for autonomous agents. This dependency allows the system to handle A2A message exchange, task assignment, and status updates without requiring additional external packages.