Mastra vs OpenAgents
Side-by-side comparison of two AI agent tools
Short answer
- OpenAgents has had no commit in 22 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 +20 for OpenAgents.
- Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick OpenAgents for: cOLM 2024 OpenAgents: An Open Platform for Language Agents in the Wild.
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.
OpenAgentsopen-source
[COLM 2024] OpenAgents: An Open Platform for Language Agents in the Wild
Metrics
| Mastra | OpenAgents | |
|---|---|---|
| Stars | 28.5k | 4.9k |
| Star velocity /mo | 968.3684210526316 | 20.210526315789473 |
| Commits (90d) | 4.1k | 0 |
| Releases (6m) | 10 | 0 |
| Downloads (30d, npm + PyPI) | 3.1M | — |
| Overall score | 0.8983723604743185 | 0.20823696151351587 |
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
- +集成三大核心代理功能，覆盖数据分析、工具调用和网络浏览等主要使用场景
- +完全开源架构支持本地部署，用户可自主控制数据和定制功能
- +提供 200+ 日常工具集成，极大扩展了代理的实用性和适用范围
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
- -作为学术研究项目，可能在商业化支持和长期维护方面存在不确定性
- -相比商业产品可能在用户界面优化和使用体验方面仍有改进空间
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
- •数据分析师使用数据代理进行复杂数据处理和可视化分析
- •普通用户通过插件代理调用各种日常工具完成生活和工作任务
- •研究人员利用网络代理自动化网页浏览和信息收集工作
FAQ
- Which is more popular, Mastra or OpenAgents?
- Mastra has more GitHub stars (28,525 vs 4,863).
- Which is more actively developed, Mastra or OpenAgents?
- Mastra had more commits in the last 90 days (4,109 vs 0).
- Should I use Mastra or OpenAgents?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.