Agency Orchestrator
🚀 One sentence → your one-person company of AI experts → complete deliverable in minutes. 267 CN + 184 EN + 5 more languages (ko/ru/pt-BR/id/ar) · zero-code YAML · auto-verified acceptance · Web Studio / Desktop / Docker · 11 LLM providers (7 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 · 2026-08-28
Health v2 · maintenance only
81/100
- Activity 99
- Release rhythm 98
- Longevity 11
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 165
- days_rel: 12
- days_push: 7
- n_releases_24m: 22
Adoption not part of the score
2134 stars · 280 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Agency Orchestrator is a multi-agent YAML workflow engine and desktop client that lets a single sentence trigger multiple AI expert roles to collaborate automatically via DAG-based parallelism. It pairs with a library of 267+ Chinese and 184+ English plug-and-play AI role definitions usable across 18 tools like Claude Code, Cursor, and Copilot.
Use cases
- orchestrate multiple AI agents from one sentence
- run zero-code multi-agent workflows defined in YAML
- assemble a team of AI expert roles for engineering, design, or marketing tasks
- run China-market AI agents for Xiaohongshu, Douyin, WeChat, Feishu, and DingTalk operations
- replace CrewAI, LangGraph, or AutoGen with a no-code orchestrator
- use LLM providers without API keys via subscription-based access
- manage a unified AI agent workbench for a team or one-person company
When to choose
- you want plug-and-play AI expert personas with automatic DAG-based collaboration and no coding
- you need Chinese-market-specific agents or a Chinese-language agent library
- you want a native desktop app that works without installing Node or managing API keys
When to avoid
- you need fully programmatic, code-level control over agent internals and custom tooling
- you require a battle-tested framework for production-critical multi-agent systems at large scale
- you only need a single-agent chatbot without orchestration
Facets
application · maturity active
agent-framework workflow-automation llm-inference prompt-engineering mcp large-language-models developer-tools windows cross-platform multi-agent agent-orchestration yaml-workflow dag no-code ai-roles claude-code cursor copilot chinese-market crewai-alternative langgraph-alternative no-api-key one-person-company ai-agents automation macos linux desktop nodejs
3 sources
- readme: https://github.com/jnMetaCode/agency-orchestrator · fetched 2026-08-28 · feab2fdc4b87
- homepage: https://ao.aiolaola.com · fetched 2026-08-29 · 35ab61c27dc5
- registry_npm: https://registry.npmjs.org/agency-orchestrator · fetched 2026-08-29 · 094b0053919c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jnMetaCode/agency-orchestrator | main | 81 |
| jnMetaCode/agency-agents-zh | plugin | 78 |
For agents
markdown · JSON · MCP: product_card(name="jnMetaCode/agency-orchestrator")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem