agency-agents-zh
A curated library of 266 plug-and-play AI agent role definitions (215 translated English roles + 50 original China-market roles) designed for integration into 18 popular AI coding tools. Each agent includes specific expertise profiles, workflows, and deliverable formats across 20 business domains—not generic prompt templates but structured persona-based task execution.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | jnMetaCode/agency-agents-zh |
| Owner | jnMetaCode |
| Primary language | Shell |
| License | MIT — OSI-approved |
| Stars | 16.8k |
| Forks | 2.9k |
| Open issues | 3 |
| Latest release | v1.2.6 (2026-06-16) |
| Last updated | 2026-07-07 |
| Source | https://github.com/jnMetaCode/agency-agents-zh |
What agency-agents-zh is
Shell-based distribution of YAML/Markdown agent definitions compatible with Claude Code, Cursor, GitHub Copilot, and 15 other AI IDEs via automated install scripts and format converters. Includes Agency Orchestrator integration for multi-agent DAG orchestration and CLI composition. Primary language is Shell for installation and format conversion.
Get the agency-agents-zh source
Clone the repository and explore it locally.
git clone https://github.com/jnMetaCode/agency-agents-zh.gitcd agency-agents-zh# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Choose one of 18 supported AI tools (OpenClaw, Claude Code, GitHub Copilot, Cursor, etc.) and run `./scripts/install.sh --tool <name>` to auto-deploy agents into local config directories.
- Format conversion is required for most tools: run `./scripts/convert.sh --tool <name>` first to transform agent definitions into tool-specific formats (SOUL.md for OpenClaw, .md snippets for Claude Code, etc.).
- Each agent is stateless; user supplies API keys for LLM provider (Claude, GPT, Gemini, Qwen, etc.). Agency Orchestrator supports 10 models and can work keyless with limited models.
- Agent definitions are static role/prompt bundles; behavioral diversity depends entirely on the underlying LLM's capabilities and the user's composition/prompting.
- Requires Node.js 14+ for Agency Orchestrator; Shell scripts are POSIX-compliant (macOS, Linux, WSL) and Windows PowerShell compatible.
When to avoid it — and what to weigh
- Closed/Proprietary Agent Framework Requirement — This is an open-source role library, not a managed platform. No vendor lock-in, but setup and model integration depend on user infrastructure and choice of LLM provider.
- Non-English-Speaking Developers with No Localization Need — Content is primarily Chinese and English. If your team requires other languages or region-specific verticals (e.g., Nordic supply chain, Middle East FinTech), you may need extensive customization.
- Strict Compliance/Audit Trail for Financial/Healthcare Use — The library provides agent templates but does not enforce audit logging, data retention, or regulatory compliance out of the box. Must be integrated with compliant LLM providers and custom monitoring.
- Real-Time or Safety-Critical Systems — Designed for knowledge work, content creation, and development tasks. Not suitable for autonomous operation in physical systems, real-time control, or medical decision-making without external validation layers.
License & commercial use
MIT License (permissive OSI-approved). Permits unrestricted use, modification, and distribution in commercial and proprietary projects, provided original copyright notice and license text are included.
MIT License explicitly permits commercial use without royalties or restrictions. Organizations may use, modify, and integrate agents into commercial products and services. Attribution to original authors is required but not enforced. No warranty provided; users assume all risk.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
Agents are prompts and role definitions; they do not execute code independently. Security depends on: (1) the underlying LLM's safety training and bias, (2) user-supplied API keys and LLM provider's infrastructure, (3) integration with code IDEs (which may auto-execute suggestions). No sandboxing or rate-limiting in the agent library itself. Users should audit agent definitions before deploying to critical workflows (e.g., security engineer role should not override developer code review). Malicious agents in forks could prompt injection if not reviewed.
Alternatives to consider
Anthropic's Models API + Custom System Prompts
Full control over role definitions without pre-built templates. Better for bespoke compliance/domain-specific agents but requires in-house prompt engineering and testing.
LangChain/LangGraph Multi-Agent Frameworks
Programmatic agent definition with tool integration, memory, and state management. More flexible but higher dev overhead than plug-and-play prompt libraries.
Managed no-code agent builders with built-in compliance, versioning, and team collaboration. Trade open-source flexibility for operational simplicity.
Build on agency-agents-zh with DEV.co software developers
Run `./scripts/install.sh` to activate pre-built experts across engineering, design, marketing, and 17 other domains. Or browse 266 agents online at ao.aiolaola.com/experts—no install required.
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agency-agents-zh FAQ
Do I need to understand Chinese to use this?
Can I modify agent definitions for my team?
Which LLM should I use?
Do agents cost extra or require a subscription?
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From first prototype to production, DEV.co delivers software development services around tools like agency-agents-zh. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across ai frameworks and beyond.
Deploy AI Agents to Your Team in Seconds
Run `./scripts/install.sh` to activate pre-built experts across engineering, design, marketing, and 17 other domains. Or browse 266 agents online at ao.aiolaola.com/experts—no install required.