jnMetaCode/agency-agents-zh is an open-source AI agent library providing 215 specialized AI roles for various industries, enabling seamless integration with 17 AI programming tools.
Source: README View on GitHub →The project is gaining attention due to its comprehensive coverage of 18 departments, support for 17 AI tools, and the addition of 50 original Chinese market agents, addressing the need for specialized AI roles in diverse fields and enhancing collaboration among AI agents.
Source: READMEContains 215 specialized AI roles with distinct identities, processes, and deliverables, covering 18 departments and supporting 17 AI tools.
Source: READMEEnables automatic collaboration among AI agents with zero-code orchestration, DAG parallel execution, and support for 6 free LLMs and 3 API integrations.
Source: READMESupports integration with 17 mainstream AI programming tools, including Claude Code, GitHub Copilot, Cursor, and more, with a simple command to install.
Source: READMEThe architecture is modular, with each AI role defined in separate files (e.g., SOUL.md, AGENTS.md, IDENTITY.md) for clarity and reusability. The project uses a combination of design patterns and data flow management to facilitate collaboration and orchestration among AI agents.
Source: Code tree + READMECenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
agency-agentsagency-orchestratorThe project is suitable for developers, technical decision-makers, and businesses in various industries such as engineering, design, marketing, finance, and more. It is useful for automating tasks, enhancing productivity, and enabling specialized AI-driven solutions.
Source: READMEv1.2.1 (2026-05-05): Added Qoder integration and 3 new agents.
Source: GitHub ReleasesjnMetaCode/agency-agents-zh is a valuable resource for developers and businesses looking to leverage AI agents in various industries. Its comprehensive library of specialized roles and seamless integration capabilities make it a strong candidate for enhancing productivity and automating tasks in diverse scenarios.