codebase-memory-mcp vs Mastra

Side-by-side comparison of two AI agent tools

Short answer

  • codebase-memory-mcp is growing faster: +1,620 GitHub stars in the last 30 days vs +968 for Mastra.
  • Pick codebase-memory-mcp for: mCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.

From GitHub data refreshed daily.

c

MCP server indexing codebases into a persistent knowledge graph with tree-sitter and hybrid LSP

Mastrafree

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

Metrics

codebase-memory-mcpMastra
Stars45.7k28.5k
Star velocity /mo1.6k968.3684210526316
Commits (90d)2.0k4.1k
Releases (6m)1010
Downloads (30d, npm + PyPI)70.9K3.1M
Overall score0.89447582484747550.8983723604743185

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

    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

      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
        View codebase-memory-mcp DetailsView Mastra Details

        FAQ

        Which is more popular, codebase-memory-mcp or Mastra?
        codebase-memory-mcp has more GitHub stars (45,713 vs 28,525).
        Which is more actively developed, codebase-memory-mcp or Mastra?
        Mastra had more commits in the last 90 days (4,109 vs 2,034).
        Should I use codebase-memory-mcp or Mastra?
        Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.