Lumos vs Mastra

Side-by-side comparison of two AI agent tools

Short answer

  • Lumos has had no commit in 30 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 Lumos.
  • Pick Lumos for: code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs". Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.

From GitHub data refreshed daily.

Lumosopen-source

Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"

Mastrafree

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

Metrics

LumosMastra
Stars47728.5k
Star velocity /mo0.3157894736842105968.3684210526316
Commits (90d)04.1k
Releases (6m)010
Downloads (30d, npm + PyPI)—3.1M
Overall score0.139064643714346240.8983723604743185

Pros

  • +Modular architecture with separate planning, grounding, and execution components enables flexible customization and debugging
  • +Unified data format supports multiple task types (web navigation, QA, math, multimodal) within a single framework
  • +Competitive performance with much larger proprietary models while being fully open-source and based on smaller LLAMA-2 models
  • +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

  • -Based on LLAMA-2 architecture which is older and may not incorporate latest language model advances
  • -Primarily research-focused with limited documentation for production deployment
  • -Requires significant computational resources for training and may need fine-tuning for domain-specific applications
  • -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

  • •Research into open-source language agents and comparative studies against proprietary models
  • •Web navigation and automation tasks requiring multi-step planning and execution
  • •Complex question answering systems that need to break down problems into actionable subgoals
  • •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, Lumos or Mastra?
Mastra has more GitHub stars (28,525 vs 477).
Which is more actively developed, Lumos or Mastra?
Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use Lumos or Mastra?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.