agency-orchestrator — MCP Server by jnMetaCode

by jnMetaCode · MCP Server · ★ 1.5k

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About agency-orchestrator

Agency Orchestrator 中文 | English 不用写代码的 AI 团队 — 186 个专业角色,YAML 编排,有会员就能跑(免 API key) 觉得有用的话,请点个 Star 支持一下 — 这是对开源作者最大的鼓励,也能帮助更多人发现这个项目。 解决什么问题 agency-agents-zh 提供了 186 个专业 AI 角色(产品经理、工程师、设计师、小红书运营……),但每个角色只能独立工作。真实任务需要协作 — 谁先谁后、怎么交接、什么时候并行。 Agency Orchestrator 让你用一个 YAML 文件编排多 AI 协作。不用写 Python,不用学框架,写 YAML 就行。而且不需要 API key — 有 Claude Max、ChatGPT Plus、GitHub Copilot 会员,或者 Google 账号(免费),装好 CLI 就能跑。 对比 CrewAI | 语言

agency-agentsagent-orchestrationai-agentsautogen-alternativeclaudecodexcopilotcrewai-alternativecursordeepseek

Quick Facts

Stars1,470
Forks205
LanguageTypeScript
CategoryMCP Server
LicenseApache-2.0
Quality Score62.0592902341238/100
Open Issues4
Last Updated2026-06-24
Created2026-03-21
Platformsbrowser, claude-code, cli, codex, gemini, mcp, node
Est. Tokens~18k

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Frequently Asked Questions

What is agency-orchestrator?

agency-orchestrator is 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. Built on the agency-agents role library (216+ experts), zero-code YAML, web Studio + desktop app, 10 LLM providers (7 free). 基. It is categorized as a MCP Server with 1.5k GitHub stars.

What programming language is agency-orchestrator written in?

agency-orchestrator is primarily written in TypeScript. It covers topics such as agency-agents, agent-orchestration, ai-agents.

How do I install or use agency-orchestrator?

You can find installation instructions and usage details in the agency-orchestrator GitHub repository at github.com/jnMetaCode/agency-orchestrator. The project has 1.5k stars and 205 forks, indicating an active community.

What license does agency-orchestrator use?

agency-orchestrator is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to agency-orchestrator?

The top alternatives to agency-orchestrator on Agent Skills Hub include open-multi-agent, pro-workflow, Overture. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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