Mastra vs oumi

Side-by-side comparison of two AI agent tools

Short answer

  • Mastra is growing faster: +969 GitHub stars in the last 30 days vs +75 for oumi.
  • Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick oumi for: easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM.

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.

oumiopen-source

Easily fine-tune, evaluate and deploy gpt-oss, Qwen3, DeepSeek-R1, or any open source LLM / VLM!

Metrics

Mastraoumi
Stars28.5k9.4k
Star velocity /mo969.206349206349275.23809523809524
Commits (90d)4.0k109
Releases (6m)102
Overall score0.90356639738076720.6033496113402458

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
  • +Comprehensive end-to-end pipeline covering fine-tuning, evaluation, and deployment of open-source LLMs/VLMs with minimal setup
  • +Strong community support and active development with regular releases, extensive documentation, and integration with popular ML frameworks
  • +Advanced features including automated hyperparameter tuning, data synthesis, and RLVF support for sophisticated model training workflows

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
  • -Limited to open-source models only, excluding proprietary models like GPT-4 or Claude
  • -Requires significant computational resources and GPU access for effective model fine-tuning
  • -Learning curve may be steep for users new to LLM fine-tuning concepts and workflows

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
  • •Fine-tuning specialized domain models for text-to-SQL generation or other domain-specific tasks
  • •Developing custom AI agents with reinforcement learning capabilities using OpenEnv integration
  • •Creating production-ready custom language models with automated evaluation and deployment pipelines

FAQ

Which is more popular, Mastra or oumi?
Mastra has more GitHub stars (28,498 vs 9,393).
Which is more actively developed, Mastra or oumi?
Mastra had more commits in the last 90 days (4,044 vs 109).
Should I use Mastra or oumi?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.