Which is more popular, Mastra or OpenAGI?

Mastra has more GitHub stars (28,525 vs 2,287).

Which is more actively developed, Mastra or OpenAGI?

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

OpenAGI has had no commit in 22 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 +5 for OpenAGI.
Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents. Pick OpenAGI for: openAGI: When LLM Meets Domain Experts.

From GitHub data refreshed daily.

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

OpenAGIopen-source

OpenAGI: When LLM Meets Domain Experts

+Research-backed framework with peer-reviewed methodology published in NeurIPS 2023
+Structured agent sharing ecosystem with upload/download functionality for community collaboration
+Built-in external tool integration system allowing agents to leverage specialized capabilities

-Requires migration to Cerebrum SDK for full AIOS integration, suggesting the main package may have limited standalone utility
-Rigid folder structure requirements that may limit flexibility in agent organization
-Heavy dependency on AIOS ecosystem for optimal functionality

•Building domain-specific expert agents for AIOS deployment in specialized fields like research or analysis
•Creating and sharing custom AI agents with the research community through the built-in marketplace
•Developing modular agents that leverage external tools for complex multi-step workflows

Which is more popular, Mastra or OpenAGI?: Mastra has more GitHub stars (28,525 vs 2,287).
Which is more actively developed, Mastra or OpenAGI?: Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use Mastra or OpenAGI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.