agency-agents 中文版(AI 智能体专家团队) vs n8n

Side-by-side comparison of two AI agent tools

Short answer

  • n8n is growing faster: +3,978 GitHub stars in the last 30 days vs +220 for agency-agents 中文版(AI 智能体专家团队).
  • Pick agency-agents 中文版(AI 智能体专家团队) for: chinese community edition with 277 AI agent personas across 20 departments and multi-agent orchestration. Pick n8n for: fair-code workflow automation platform with native AI capabilities.

From GitHub data refreshed daily.

Chinese community edition with 277 AI agent personas across 20 departments and multi-agent orchestration

n8nfree

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Metrics

agency-agents 中文版(AI 智能体专家团队)n8n
Stars21.0k206.5k
Star velocity /mo2204.0k
Commits (90d)953.7k
Releases (6m)610
Downloads (30d, npm + PyPI)3.4K384.9K
Overall score0.63619023996762420.9297406531814896

Pros

    • +Hybrid approach combining visual workflow building with full JavaScript/Python coding capabilities when needed
    • +AI-native platform with LangChain integration for building sophisticated AI agent workflows using custom data and models
    • +Fair-code license ensures source code transparency with self-hosting options, providing data control and deployment flexibility

    Cons

      • -Requires technical knowledge to fully leverage coding capabilities and advanced features
      • -Self-hosting demands infrastructure management and maintenance overhead
      • -Fair-code license restricts commercial usage at scale without enterprise licensing

      Use Cases

        • •Building AI agent workflows that process customer data using LangChain and custom language models
        • •Automating complex business processes that require both API integrations and custom business logic
        • •Creating data synchronization pipelines between multiple SaaS tools while maintaining full control over sensitive data through self-hosting

        FAQ

        Which is more popular, agency-agents 中文版(AI 智能体专家团队) or n8n?
        n8n has more GitHub stars (206,548 vs 21,044).
        Which is more actively developed, agency-agents 中文版(AI 智能体专家团队) or n8n?
        n8n had more commits in the last 90 days (3,694 vs 95).
        Should I use agency-agents 中文版(AI 智能体专家团队) or n8n?
        Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.