> ## Documentation Index > Fetch the complete documentation index at: https://docs.pipecat.ai/llms.txt > Use this file to discover all available pages before exploring further. # Examples > Complete working examples for Pipecat Subagents. All examples are available in the [pipecat-subagents repository](https://github.com/pipecat-ai/pipecat-subagents/tree/main/examples). ## Local examples These examples run all agents in a single process using the default `AsyncQueueBus`. The simplest use case: one `BaseAgent` running a complete voice pipeline through the `AgentRunner`. No bus bridge, no multi-agent coordination. A greeter and a support agent that transfer control between each other. Demonstrates agent handoff with `handoff_to()` and the `@tool` decorator. Same as above, but each agent has its own TTS with a distinct voice. The main agent has no TTS -- audio comes from the active LLM agent through the bus. An LLM router agent combined with a `FlowsAgent` for structured restaurant reservations. Demonstrates mixing agent types. A moderator spawns three worker agents in parallel using `task_group()`. Each worker argues from a different perspective. Demonstrates task coordination. A voice agent backed by a code worker that uses Claude Agent SDK with tools (Read, Bash, Glob, Grep) to answer coding questions. Demonstrates task-based agent integration. ## Distributed examples These examples run agents across separate processes or machines, communicating via Redis or WebSocket. The two-agent handoff split across separate processes using `RedisBus`. The main transport agent runs independently from the LLM agents. A main agent connects to a remote LLM server over WebSocket using proxy agents. Demonstrates point-to-point distributed deployment.