How to implement a Deep Research example with A2A multiagent?

I want to implement an application similar to Grok or Gemini's deep research, following the ReAct pattern. It would first list a plan, then output a task form (including the steps to complete the task and the Agents to be used). Next, it would execute the plan by calling different Agents. After each Agent completes its part, it would think and observe (checking how the Agent's execution results are and whether the plan needs updating). Finally, it would complete the task and output the results to the interface or a file.

Who can give me some suggestions. Appreciate very much.
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The issue describes a high-level application design using the ReAct pattern and A2A multiagent. Start by examining the repository's existing samples to understand the A2A protocol and agent structure. Look for any existing multi-agent or planning examples. The goal is to design and implement a new sample, but the scope is large and undefined.

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