Evo.ninja vs Mastra

Side-by-side comparison of two AI agent tools

Short answer

  • Evo.ninja has had no commit in 26 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 Evo.ninja.
  • Pick Evo.ninja for: a versatile generalist agent. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.

From GitHub data refreshed daily.

Evo.ninjaopen-source

A versatile generalist agent.

Mastrafree

From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.

Metrics

Evo.ninjaMastra
Stars1.1k28.5k
Star velocity /mo0.15789473684210523968.3684210526316
Commits (90d)04.1k
Releases (6m)010
Downloads (30d, npm + PyPI)—3.1M
Overall score0.134334915148839080.8983723604743185

Pros

  • +实时智能体切换机制,能根据任务类型自动选择最合适的专业人格,提高执行效率
  • +结构化的四步执行循环,确保每次迭代都经过预测、选择、上下文化和评估的完整流程
  • +多领域专业化覆盖,集成文本分析、数据处理、网络研究和Python开发四大核心能力
  • +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

  • -智能体类型限制在四个预定义领域,可能无法覆盖所有专业需求
  • -本地部署需要安装多个技术依赖(Node.js、yarn、nvm等),对非技术用户存在门槛
  • -开发者智能体专门针对Python,对其他编程语言的支持可能有限
  • -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

  • •企业文档分析和报告生成,自动处理大量文本文件并提取关键信息
  • •数据分析工作流,处理CSV文件进行数据挖掘、计算和洞察提取
  • •复合型Python开发项目,结合研究、分析和编程的端到端软件构建
  • •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, Evo.ninja or Mastra?
Mastra has more GitHub stars (28,525 vs 1,080).
Which is more actively developed, Evo.ninja or Mastra?
Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use Evo.ninja or Mastra?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.