> For the complete documentation index, see [llms.txt](https://docs.magnetlabs.xyz/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.magnetlabs.xyz/what-are-programmable-action-agents/a2a-agent-2-agent.md).

# 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.