GPTeam vs Mastra
Side-by-side comparison of two AI agent tools
Short answer
- GPTeam has had no commit in 27 months; Mastra is actively maintained (4,109 commits in the last 90 days).
- Mastra is growing faster: +968 GitHub stars in the last 30 days vs +1 for GPTeam.
- Pick GPTeam for: gPTeam: An open-source multi-agent simulation. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.
From GitHub data refreshed daily.
GPTeamopen-source
GPTeam: An open-source multi-agent simulation
Mastrafree
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
Metrics
| GPTeam | Mastra | |
|---|---|---|
| Stars | 1.7k | 28.5k |
| Star velocity /mo | 0.9473684210526316 | 968.3684210526316 |
| Commits (90d) | 0 | 4.1k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.15325383359356165 | 0.8983723604743185 |
Pros
- +基于 GPT-4 的高质量智能体协作，支持复杂任务的分布式处理
- +开源架构且社区活跃，提供完整的智能体记忆和反思机制实现
- +支持实时监控和 Discord 集成，可观察智能体状态并与外部系统交互
- +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
- -依赖 OpenAI API，运行成本较高，尤其是使用 GPT-4 时
- -主要绑定 OpenAI 生态，对其他 AI 提供商的支持有限
- -Python 环境要求和配置相对复杂，需要一定的技术背景
- -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
- •多智能体系统的学术研究，探索智能体协作和通信模式
- •复杂业务流程的 AI 自动化，通过多智能体分工协作处理任务
- •AI 游戏和仿真开发，创建具有独立思考能力的虚拟角色
- •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, GPTeam or Mastra?
- Mastra has more GitHub stars (28,525 vs 1,723).
- Which is more actively developed, GPTeam or Mastra?
- Mastra had more commits in the last 90 days (4,109 vs 0).
- Should I use GPTeam or Mastra?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.