Which is more popular, Mastra or LangChain?

Mastra has more GitHub stars (28,525 vs 1,644).

Which is more actively developed, Mastra or LangChain?

Mastra had more commits in the last 90 days (4,109 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

LangChain has had no commit in 32 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 +2 for LangChain.
Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick LangChain for: reference implementations of several LangChain agents as Streamlit apps.

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

LangChainopen-source

Reference implementations of several LangChain agents as Streamlit apps

+Multiple complete, working examples covering diverse agent patterns from basic chat to complex document Q&A systems
+Ready-to-deploy Streamlit applications with live demos available for immediate testing and exploration
+Demonstrates best practices for LangChain-Streamlit integration including callback handling, memory management, and user feedback collection

-Some examples use potentially unsafe tools like PythonAstREPLTool that are vulnerable to arbitrary code execution
-Limited to the LangChain ecosystem and may not showcase integration with other agent frameworks or libraries
-Most examples require external API keys and services to run fully, creating setup barriers for immediate testing

•Rapid prototyping of conversational AI agents with interactive web interfaces for testing and demonstration
•Building document Q&A systems that can chat about custom content and provide contextual answers from uploaded files
•Creating natural language interfaces for database queries and data analysis tools

Which is more popular, Mastra or LangChain?: Mastra has more GitHub stars (28,525 vs 1,644).
Which is more actively developed, Mastra or LangChain?: Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use Mastra or LangChain?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.