llama-github vs Mastra
Side-by-side comparison of two AI agent tools
Short answer
- Mastra is growing faster: +969 GitHub stars in the last 30 days vs +-4 for llama-github.
- Pick llama-github for: open-source Python library for agentic RAG across public GitHub code, issues, and repository information. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.
From GitHub data refreshed daily.
llama-githubopen-source
Open-source Python library for agentic RAG across public GitHub code, issues, and repository information
Mastrafree
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
Metrics
| llama-github | Mastra | |
|---|---|---|
| Stars | 294 | 28.5k |
| Star velocity /mo | -3.968253968253968 | 969.2063492063492 |
| Commits (90d) | 8 | 4.0k |
| Releases (6m) | 6 | 10 |
| Overall score | 0.31211089310236195 | 0.9035663973807672 |
Pros
- +专门针对GitHub优化的代理RAG系统，能够精准检索相关代码片段和项目信息
- +开源架构提供了良好的可定制性和透明度，方便开发者根据需求进行扩展
- +支持多种AI应用场景，包括聊天机器人、代理系统和自动开发解决方案
- +统一的多提供商接口支持 40+ AI 模型提供商，避免供应商锁定
- +完整的 AI 应用工具链包括代理、工作流、人机交互和上下文管理
- +TypeScript 原生支持和现代技术栈集成，开发体验优秀
Cons
- -相对较新的项目（319 GitHub星数），社区生态系统和文档可能还不够成熟
- -仅限于GitHub公共项目，无法访问私有仓库或其他代码托管平台
- -作为Python库，对于非Python技术栈的项目集成可能需要额外的适配工作
- -作为相对较新的框架，生态系统和社区资源可能有限
- -多功能集成可能带来学习曲线，需要时间掌握各个组件
- -文档和最佳实践可能还在完善中，缺少大规模生产案例
Use Cases
- •构建智能编程助手，帮助开发者快速找到相关的开源代码示例和解决方案
- •开发代码审查和分析工具，通过检索类似项目的最佳实践来提供改进建议
- •创建自动化开发工具，根据项目需求智能推荐合适的开源组件和代码模式
- •构建需要多个 AI 模型协作的复杂智能代理系统
- •开发需要人机交互审批流程的自动化工作流应用
- •快速原型验证 AI 产品概念并扩展到生产环境
FAQ
- Which is more popular, llama-github or Mastra?
- Mastra has more GitHub stars (28,498 vs 294).
- Which is more actively developed, llama-github or Mastra?
- Mastra had more commits in the last 90 days (4,044 vs 8).
- Should I use llama-github or Mastra?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.