Which is more popular, LLM Agents or Mastra?

Mastra has more GitHub stars (28,525 vs 1,055).

Which is more actively developed, LLM Agents or Mastra?

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

LLM Agents has had no commit in 15 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 LLM Agents.
Pick LLM Agents for: build agents which are controlled by 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.

LLM Agentsopen-source

Build agents which are controlled by LLMs

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

+Educational transparency with minimal abstraction layers for understanding agent mechanics
+Easy customization and extension with simple tool integration API
+Lightweight codebase that's easy to modify and debug

-Limited built-in tools compared to comprehensive frameworks like LangChain
-Requires manual setup of API keys for OpenAI and optional SERPAPI services
-Lacks advanced features like memory management, conversation history, or production optimizations

•Learning how LLM agents work by studying and modifying a simple implementation
•Rapid prototyping of custom agent workflows with specific tool combinations
•Building educational demos or simple automation tasks where transparency matters more than features

Which is more popular, LLM Agents or Mastra?: Mastra has more GitHub stars (28,525 vs 1,055).
Which is more actively developed, LLM Agents or Mastra?: Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use LLM Agents or Mastra?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.