LangChain Rust vs Mastra

Side-by-side comparison of two AI agent tools

Short answer

  • LangChain Rust has had no commit in 17 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 +13 for LangChain Rust.
  • Pick LangChain Rust for: langChain for Rust, the easiest way to write LLM-based programs in Rust. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.

From GitHub data refreshed daily.

LangChain Rustopen-source

🦜️🔗LangChain for Rust, the easiest way to write LLM-based programs in Rust

Mastrafree

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

Metrics

LangChain RustMastra
Stars1.3k28.5k
Star velocity /mo13.105263157894738968.3684210526316
Commits (90d)04.1k
Releases (6m)010
Downloads (30d, npm + PyPI)—3.1M
Overall score0.201143227521343450.8983723604743185

Pros

  • +Supports multiple LLM providers (OpenAI, Claude, Ollama) with consistent API
  • +Comprehensive vector store integrations including Postgres, Qdrant, and SurrealDB
  • +Native Rust performance and memory safety for production AI applications
  • +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

  • -Smaller ecosystem and community compared to Python LangChain
  • -Requires Rust knowledge which has a steeper learning curve
  • -Documentation and examples are more limited than the main LangChain project
  • -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

  • •Building RAG systems with vector databases for semantic document retrieval
  • •Creating conversational AI applications with persistent memory and context
  • •Developing high-performance AI pipelines that require Rust's safety and speed
  • •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, LangChain Rust or Mastra?
Mastra has more GitHub stars (28,525 vs 1,348).
Which is more actively developed, LangChain Rust or Mastra?
Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use LangChain Rust or Mastra?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.