Mastra vs MetaGPT
Side-by-side comparison of two AI agent tools
Short answer
- MetaGPT has had no commit in 8 months; Mastra is actively maintained (4,109 commits in the last 90 days).
- Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick MetaGPT for: the Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming.
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.
MetaGPTopen-source
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Metrics
| Mastra | MetaGPT | |
|---|---|---|
| Stars | 28.5k | 70.7k |
| Star velocity /mo | 968.3684210526316 | 695.5263157894738 |
| Commits (90d) | 4.1k | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | 3.1M | — |
| Overall score | 0.8983723604743185 | 0.377739148043798 |
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
- +完整的软件开发流程自动化，从需求到代码生成覆盖整个开发生命周期
- +基于角色的多智能体架构，模拟真实软件公司的协作模式
- +强大的社区支持和学术认可，GitHub获得66000+星标，相关论文在ICLR 2025获得口头报告资格
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
- -对Python版本有严格限制，要求3.9及以上但低于3.12版本
- -多智能体系统的复杂性可能导致设置和调试困难
- -运行多个LLM角色可能消耗大量计算资源和API调用成本
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
- •将一行业务需求自动转换为完整的软件规格说明和技术文档
- •自动化软件架构设计，生成数据结构、API接口和系统架构图
- •端到端软件开发流程自动化，适用于快速原型开发和MVP构建
FAQ
- Which is more popular, Mastra or MetaGPT?
- MetaGPT has more GitHub stars (70,725 vs 28,525).
- Which is more actively developed, Mastra or MetaGPT?
- Mastra had more commits in the last 90 days (4,109 vs 0).
- Should I use Mastra or MetaGPT?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.