Ross ROSS = Recommend OSS · open-source software intelligence for agents

Agency Orchestrator

🚀 One sentence → your one-person company of AI experts → complete deliverable in minutes. 276 CN + 184 EN + 5 more languages (ko/ru/pt-BR/id/ar) · zero-code YAML · auto-verified acceptance · Web Studio / Desktop / Docker · 15 LLM providers (11 key-free). 一句话组建你的「一人公司」AI 专家团队,几分钟交付完整方案;验收自动核验,网页 / 桌面 / Docker 全渠道。 observed · 2026-10-18

github.com/jnMetaCode/agency-orchestrator · homepage · TypeScript · Apache-2.0 (permissive) observed · 2026-10-18

Health v2 · maintenance only

82/100

  • Activity 100
  • Release rhythm 98
  • Longevity 15
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 213
  • days_rel: 12
  • days_push: 3
  • n_releases_24m: 26

Full methodology

Adoption not part of the score

2377 stars · 313 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.97

Agency Orchestrator is a cross‑platform desktop and CLI application that lets users compose multi‑agent AI workflows with a single sentence. It ships with hundreds of ready‑made AI expert roles covering many business domains and supports dozens of LLM providers.

Use cases

  • automate a product launch plan by coordinating marketing, design, and engineering AI agents
  • generate a complete financial report using finance and data‑analysis AI experts
  • orchestrate a multi‑step software development task with coding assistants like Claude Code, Copilot, and Cursor
  • run a Chinese‑market specific social media campaign using native AI agents for WeChat, Douyin, and Xiaohongshu
  • create a DAG‑based workflow that runs multiple AI agents in parallel to produce a marketing strategy

When to choose

  • You need a no‑code way to combine many AI specialists into a single automated workflow
  • You work with Chinese platforms and need AI agents that understand local contexts
  • You prefer a desktop client that runs locally without installing Node.js
  • You want to experiment with dozens of pre‑built AI roles without writing custom prompts

When to avoid

  • You require fine‑grained control over individual LLM API calls beyond the provided agents
  • Your deployment must run in a headless server‑only environment without a GUI
  • You need a lightweight library without the bundled desktop UI or extensive role catalog

Facets

application · maturity active

workflow-automation cli gui artificial-intelligence large-language-models cross-platform cli multi-agent yaml-workflow dag no-code chinese-ai agent-orchestration ai-agents prompt-engineering desktop nodejs

3 sources

Member repositories

RepositoryRoleHealth v2
jnMetaCode/agency-orchestratormain82
jnMetaCode/agency-agents-zhplugin77

For agents

markdown · JSON · MCP: product_card(name="jnMetaCode/agency-orchestrator")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem