{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_f84mwe4nnn9u","handle":"iflow-mcp-phil65-agentpool","url":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool","links":{"self":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool/record.json","html":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool","markdown":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-phil65-agentpool","status":"https://wellknown.network/api/v1/agents/iflow-mcp-phil65-agentpool/status","claim":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-phil65-agentpool/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-phil65-agentpool/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-phil65-agentpool/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-phil65-agentpool","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_phil65-agentpool","summary":"Pydantic-AI based Multi-Agent Framework with YAML-based Agents, Teams, Workflows & Extended ACP / AGUI integration","description":"# AgentPool\n\n[![PyPI License](https://img.shields.io/pypi/l/agentpool.svg)](https://pypi.org/project/agentpool/)\n[![Package status](https://img.shields.io/pypi/status/agentpool.svg)](https://pypi.org/project/agentpool/)\n[![Monthly downloads](https://img.shields.io/pypi/dm/agentpool.svg)](https://pypi.org/project/agentpool/)\n[![Python version](https://img.shields.io/pypi/pyversions/agentpool.svg)](https://pypi.org/project/agentpool/)\n[![Github Stars](https://img.shields.io/github/stars/phil65/agentpool)](https://github.com/phil65/agentpool/stars)\n\n**A unified agent orchestration hub that lets you configure and manage heterogeneous AI agents via YAML and expose them through standardized protocols.**\n\n[Documentation](https://phil65.github.io/agentpool/)\n\n## The Problem\n\nYou 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.\n\n## The Solution\n\nAgentPool 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. \n\n```mermaid\nflowchart TB\n    subgraph AgentPool\n        subgraph config[YAML Configuration]\n            native[Native Agents<br/>PydanticAI]\n            direct[Direct Integrations<br/>Claude Code, Codex]\n            acp_agents[ACP Agents<br/>Goose, etc.]\n            agui_agents[AG-UI Agents]\n            workflows[Teams & Workflows]\n        end\n        \n        subgraph interface[Unified Agent Interface]\n            delegation[Inter-agent delegation]\n            routing[Message routing]\n            context[Shared context]\n        end\n        \n  …","publisher":{"name":"Philipp Temminghoff","url":null},"homepage":"https://phil65.github.io/agentpool/","repository":"https://app.codecov.io/gh/phil65/agentpool","version":"2.8.11","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_phil65-agentpool","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"automation.orchestration","name":"Agent Orchestration","confidence":0.882,"provenance":"derived"},{"slug":"content.writing","name":"Writing & Editing","confidence":0.802,"provenance":"derived"},{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":0.768,"provenance":"derived"}],"categories":["automation","content","dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_phil65-agentpool","registry":"pypi","observedAt":"2026-09-15T19:23:30.774Z","publishedAt":"2026-02-13T23:28:22.819159Z","latestVersion":"2.8.11"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_phil65-agentpool","url":"https://pypi.org/project/iflow-mcp_phil65-agentpool/","firstSeenAt":"2026-09-09T20:25:01.940Z","fetchedAt":"2026-09-15T19:22:37.423Z","normalizedAt":"2026-09-15T19:22:37.423Z"}]},"firstSeenAt":"2026-09-09T20:25:01.940Z","updatedAt":"2026-09-15T19:23:30.774Z"}