Unleash the Power of AI Agents with the Chinese Version of agency-agents: Outperforming the Original with 100K+ Stars

In the realm of AI agent development, the open-source project agency-agents has emerged as a game-changer, especially with its Chinese version that has surpassed the original in functionality and relevance, boasting over 100K stars on GitHub. This project offers a robust library of AI agent roles, tools, and frameworks, making it an indispensable resource for developers and businesses looking to leverage AI for various tasks. Here’s a practical guide to understanding and utilizing this powerful tool.

1. What is agency-agents?

agency-agents is an open-source AI agent role library designed to provide ready-to-use AI expert roles, each tailored for specific tasks and industries. Unlike generic AI templates, these agents are built as true expert systems, defining *how to think* and *how to act* in their respective domains.

• Core Features:
• 215 expert AI roles covering 18 departments (e.g., marketing, data science, HR).
• 17 integrated tools (e.g., Claude Code, Cursor, Copilot) for seamless workflow automation.
• A five-layer design framework that structures agent behavior:

1. Identity Setting: Defines the agent’s unique personality and expertise.
2. Core Mission: Outlines what the agent does and doesn’t do.
3. Key Rules: Establishes domain-specific constraints.
4. Delivery Definition: Specifies tangible outputs (e.g., a data analysis report with actionable insights).
5. Success Metrics: Sets quantifiable goals for performance.

2. Why the Chinese Version Stands Out

The Chinese version of agency-agents goes beyond translation—it’s a localized enhancement with 50 original roles built for Chinese-specific scenarios. These roles address unique needs in the Chinese market, making them invaluable for businesses and developers targeting this region.

Example Chinese-Specific Roles:

• Douyin (TikTok) Operations Expert:
• Task: Optimize video content, manage user engagement, and analyze platform trends.
• Command Snippet (Python) for Trend Analysis:

        import requests
        import pandas as pd
        
        def fetch_douyin_trends(keyword):
            url = "https://api.douyin.com/trends"
            params = {"keyword": keyword, "region": "China"}
            response = requests.get(url, params=params)
            data = response.json()
            trends_df = pd.DataFrame(data["trends"])
            return trends_df
        
        # Example usage
        douyin_trends = fetch_douyin_trends("AI agents")
        print(douyin_trends.head())

• College Entrance Exam (Gaokao) Counselor:
• Task: Analyze student scores, recommend universities/majors, and simulate admission odds.
• Command Snippet (Python) for Admission Simulation:

        def simulate_admission(score, rank, target_universities):
            admission_results = {}
            for uni, requirements in target_universities.items():
                if score >= requirements["min_score"] and rank <= requirements["max_rank"]:
                    admission_results[uni] = "Admitted"
                else:
                    admission_results[uni] = "Rejected"
            return admission_results
        
        # Example usage
        target_uni = {
            "Peking University": {"min_score": 680, "max_rank": 500},
            "Tsinghua University": {"min_score": 675, "max_rank": 800}
        }
        result = simulate_admission(685, 450, target_uni)
        print(result)

• Aquaculture Audit Officer:
• Task: Automate inspection reports, track species growth, and ensure regulatory compliance.
• Command Snippet (Python) for Growth Tracking:

        import numpy as np
        import matplotlib.pyplot as plt
        
        def track_aquaculture_growth(species, growth_data):
            days = np.arange(len(growth_data))
            plt.plot(days, growth_data, label=species)
            plt.xlabel("Days")
            plt.ylabel("Growth (cm)")
            plt.title(f"{species} Growth Tracking")
            plt.legend()
            plt.savefig("growth_tracking.png")
            return "growth_tracking.png"
        
        # Example usage
        carp_growth = [5, 7, 10, 13, 16, 19]
        report_image = track_aquaculture_growth("Carp", carp_growth)
        print(f"Growth report saved as: {report_image}")

3. Technical Ecosystem: 17 Tools + Product Matrix

agency-agents supports a matrix of 17 mainstream development tools, enabling one-click installation and integration. This ecosystem includes:

• Coding tools: Claude Code, Cursor, Copilot, Geminai CLI.
• Productivity tools: Windsurf, Aider, Tse, CodeX CLI.
• Specialized tools: DeepFlow, Kiro, Qwen Code, Augment.

To set up the toolchain, use the following command (Linux/macOS):

# Clone the repository
git clone https://github.com/agency-agents/agency-agents.git
cd agency-agents

# Install dependencies
pip install -r requirements.txt

# Install all tools (one-click)
python setup_tools.py --all

4. Performance Comparison: Chinese Version vs. Original

|Metric|Original Version|Chinese Version| |---|---|---| |GitHub Stars|103K (Reddit/Global)|12.4K (China-Focused)| |Agent Roles|184|215 (50+ original)| |Departments|15|18 (3+ new)| |Tools|11|17| |Language|English|Chinese (Fully Localized)|

5. Getting Started (Open-Source & Free)

agency-agents is open-source and free to use. To get started:

1. Clone the Repository:

    git clone https://github.com/agency-agents/agency-agents.git
    cd agency-agents

1. Run a Sample Agent (e.g., Douyin Operations Expert):

    from agency_agents import DouyinOperationsAgent
    
    # Initialize the agent
    douyin_agent = DouyinOperationsAgent(
        account_id="your_douyin_account",
        api_key="your_api_key"
    )
    
    # Analyze a video's performance
    video_performance = douyin_agent.analyze_video(video_id="123456")
    print(video_performance)
    
    # Generate a content plan
    content_plan = douyin_agent.generate_content_plan(
        niche="AI technology",
        target_audience="tech enthusiasts"
    )
    print(content_plan)

6. Conclusion

The Chinese version of agency-agents is a testament to how localization and specialization can elevate AI agent functionality. With its 215 expert roles, 17 integrated tools, and China-specific features, it’s a must-try for developers and businesses looking to harness AI for targeted, practical applications. Whether you’re optimizing social media campaigns, navigating educational advising, or managing industrial audits, agency-agents provides the tools and structure to turn AI into a true expert collaborator.

For more projects and updates, follow the official GitHub repository or the project’s social media channels. Happy building!