Agentflow vs Mastra
Side-by-side comparison of two AI agent tools
Short answer
- Agentflow has had no commit in 38 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 +0 for Agentflow.
- Pick Agentflow for: complex LLM Workflows from Simple JSON. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.
From GitHub data refreshed daily.
Agentflowopen-source
Complex LLM Workflows from Simple JSON.
Mastrafree
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
Metrics
| Agentflow | Mastra | |
|---|---|---|
| Stars | 321 | 28.5k |
| Star velocity /mo | 0 | 968.3684210526316 |
| Commits (90d) | 0 | 4.1k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 3.1M |
| Overall score | 0.1296051841820922 | 0.8983723604743185 |
Pros
- +人类可读的JSON格式使非技术用户也能轻松创建和修改AI工作流程
- +在聊天式交互和完全自主系统之间提供了良好的平衡，确保工作流程的可靠性和可控性
- +支持自定义函数和变量系统，允许用户扩展功能并创建动态内容生成流程
- +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
- -目前仍在开发阶段，可能缺乏生产环境所需的稳定性和完整功能
- -依赖OpenAI API，需要外部服务和API密钥，可能产生使用成本
- -需要Python环境和手动配置，对非技术用户存在一定的技术门槛
- -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
- •自动化内容生成管道，如批量创建营销文案、产品描述或技术文档
- •构建需要多个步骤的数据处理工作流程，如信息提取、分析和报告生成
- •创建可重复的AI辅助业务流程，如客户服务响应模板或内容审核工作流
- •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, Agentflow or Mastra?
- Mastra has more GitHub stars (28,525 vs 321).
- Which is more actively developed, Agentflow or Mastra?
- Mastra had more commits in the last 90 days (4,109 vs 0).
- Should I use Agentflow or Mastra?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.