The Agency vs Langfuse
Side-by-side comparison of two AI agent tools
Short answer
- The Agency is growing faster: +14,588 GitHub stars in the last 30 days vs +1,816 for Langfuse.
- Pick The Agency for: a collection of specialized AI agents with distinct expertise, personalities, and workflows. Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management.
From GitHub data refreshed daily.
The Agencyopen-source
A collection of specialized AI agents with distinct expertise, personalities, and workflows
Langfuseopen-source
Open-source LLM engineering platform for observability, evaluation, prompt and dataset management
Metrics
| The Agency | Langfuse | |
|---|---|---|
| Stars | 155.6k | 35.3k |
| Star velocity /mo | 14.6k | 1.8k |
| Commits (90d) | 113 | 2.0k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.7287686553900142 | 0.9092500952300576 |
Pros
- +专业化程度高 - 每个agent都有深度专业知识和独特个性，不是通用模板
- +交付成果导向 - 专注于提供实际的代码、流程和可衡量结果，而非空泛建议
- +多平台支持 - 支持Claude Code、Cursor、Aider、Windsurf、Gemini CLI等多种开发工具
- +Open source with MIT license allowing full customization and transparency, plus active community support
- +Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
- +Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK
Cons
- -学习曲线 - 需要时间了解每个agent的特性和最佳使用场景
- -配置复杂性 - 多工具集成可能需要额外的设置和配置步骤
- -依赖特定生态 - 最佳体验需要特定的开发工具支持
- -May require significant setup and configuration for self-hosted deployments
- -Could be overwhelming for simple use cases that only need basic LLM monitoring
- -Self-hosting requires technical expertise and infrastructure resources
Use Cases
- •前端开发 - 使用Frontend Developer agent进行React/Vue/Angular应用开发和UI优化
- •架构设计 - 通过Backend Architect agent进行系统架构规划和技术选型
- •专业咨询 - 针对特定技术领域问题获得专家级指导和解决方案
- •Production LLM application monitoring to track performance, costs, and identify issues in real-time
- •Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
- •LLM evaluation and testing to measure model performance across different datasets and use cases
FAQ
- Which is more popular, The Agency or Langfuse?
- The Agency has more GitHub stars (155,573 vs 35,266).
- Which is more actively developed, The Agency or Langfuse?
- Langfuse had more commits in the last 90 days (2,011 vs 113).
- Should I use The Agency or Langfuse?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.