Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration
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# AgentPool [](https://pypi.org/project/agentpool/) [](https://pypi.org/project/agentpool/) [](https://pypi.org/project/agentpool/) [](https://pypi.org/project/agentpool/) [](https://github.com/phil65/agentpool/stars) **A unified agent orchestration hub that lets you configure and manage heterogeneous AI agents via YAML and expose them through standardized protocols.** [Documentation](https://phil65.github.io/agentpool/) ## The Problem You want to use multiple AI agents together - Claude Code for refactoring, Codex for code editing with advanced reasoning, a custom analysis agent, maybe Goose for specific tasks. But each has different APIs, protocols, and integration patterns. Coordinating them means writing glue code for each combination. ## The Solution AgentPool acts as a protocol bridge. Define all your agents in one YAML file - whether they're native (PydanticAI-based), direct integrations (Claude Code, Codex), external ACP agents (Goose), or AG-UI agents. Then expose them all through ACP or AG-UI protocols, letting them cooperate, delegate, and communicate through a unified interface. ```mermaid flowchart TB subgraph AgentPool subgraph config[YAML Configuration] native[Native Agents<br/>PydanticAI] direct[Direct Integrations<br/>Claude Code, Codex] acp_agents[ACP Agents<br/>Goose, etc.] agui_agents[AG-UI Agents] workflows[Teams & Workflows] end subgraph interface[Unified Agent Interface] delegation[Inter-agent delegation] routing[Message routing] context[Shared context] end …
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