Mastra vs workgpt
Side-by-side comparison of two AI agent tools
Short answer
- workgpt has had no commit in 39 months; Mastra is actively maintained (4,044 commits in the last 90 days).
- Mastra is growing faster: +969 GitHub stars in the last 30 days vs +-0 for workgpt.
- Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick workgpt for: a GPT agent framework for invoking APIs.
From GitHub data refreshed daily.
Mastrafree
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
workgptopen-source
A GPT agent framework for invoking APIs
Metrics
| Mastra | workgpt | |
|---|---|---|
| Stars | 28.5k | 731 |
| Star velocity /mo | 969.2063492063492 | -0.47619047619047616 |
| Commits (90d) | 4.0k | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.9035663973807672 | 0.1277322468377095 |
Pros
- +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
- +支持任何OpenAPI格式的API，具有出色的扩展性和兼容性
- +智能身份验证处理，自动识别和配置API认证方式
- +集成OpenPM包管理器，简化API发现和集成流程
Cons
- -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
- -依赖OpenAI API调用，产生持续的使用成本
- -主要基于文本交互，对于需要复杂UI操作的场景支持有限
- -执行效果高度依赖外部API的可用性和响应质量
Use Cases
- •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
- •自动化网络研究和数据收集，如基于IP地址查询地理信息和人口统计
- •网站内容爬取和结构化数据提取，利用Puppeteer进行智能网页解析
- •多API协作的业务流程自动化，如集成多个服务完成复杂任务链
FAQ
- Which is more popular, Mastra or workgpt?
- Mastra has more GitHub stars (28,498 vs 731).
- Which is more actively developed, Mastra or workgpt?
- Mastra had more commits in the last 90 days (4,044 vs 0).
- Should I use Mastra or workgpt?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.