Which is more popular, Eidolon or Mastra?

Mastra has more GitHub stars (28,525 vs 492).

Which is more actively developed, Eidolon 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

Eidolon has had no commit in 21 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 +1 for Eidolon.
Pick Eidolon for: the first AI Agent Server, Eidolon is a pluggable Agent SDK and enterprise ready, deployment server. Pick Mastra for: from the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents.

From GitHub data refreshed daily.

Eidolonopen-source

The first AI Agent Server, Eidolon is a pluggable Agent SDK and enterprise ready, deployment server for Agentic applications

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

+Service-oriented architecture with built-in HTTP servers eliminates deployment complexity and makes agents production-ready by default
+Excellent agent-to-agent communication through well-defined interfaces and dynamic tool generation from OpenAPI schemas
+Highly modular design allows easy swapping of components (LLMs, RAG, tools) without vendor lock-in, enabling rapid adaptation to AI advances

-Relatively small community with 485 GitHub stars may mean limited ecosystem and third-party integrations
-Service-oriented approach may introduce overhead for simple single-agent use cases that don't require distributed architecture
-Documentation and examples appear limited based on basic quickstart guide mention, potentially steeper learning curve

•Enterprise multi-agent systems requiring scalable deployment and agent-to-agent communication in production environments
•Organizations needing to frequently swap AI components (different LLMs, RAG systems) without rebuilding entire agent infrastructure
•Development teams building agent services that need to integrate with existing microservice architectures via standard HTTP APIs

Which is more popular, Eidolon or Mastra?: Mastra has more GitHub stars (28,525 vs 492).
Which is more actively developed, Eidolon or Mastra?: Mastra had more commits in the last 90 days (4,109 vs 0).
Should I use Eidolon or Mastra?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.