# A2A (Agent-2-Agent)

**Agent-to-Agent (A2A)** represents the ultimate evolution of the *Agentic Web*. In this paradigm, agents not only interact autonomously with humans but also create and manage other AI agents to handle more complex, large-scale scenarios and execute comprehensive tasks. These include, but are not limited to, the following use cases:

1. **Community Management**: A2A agents can oversee and manage communities, handling tasks such as responding to queries, launching campaigns, conducting airdrops, and managing members. They can decompose community management into sub-tasks, create specialized AI agents for each task, and orchestrate their unified management.
2. **Portfolio Management**: For investment portfolios, A2A agents can manage assets across different blockchains and tokens, monitor market metrics, and autonomously adjust strategies to optimize performance.

This capability unlocks a new level of scalability and automation, empowering users to handle highly intricate workflows with minimal manual intervention.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.magnetlabs.xyz/what-are-programmable-action-agents/a2a-agent-2-agent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.