Which is more popular, AutoGen or Swarm?

AutoGen has more GitHub stars (61,248 vs 22,034).

Which is more actively developed, AutoGen or Swarm?

AutoGen had more commits in the last 90 days (0 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

AutoGen is growing faster: +782 GitHub stars in the last 30 days vs +125 for Swarm.
Pick AutoGen for: a programming framework for agentic AI. Pick Swarm for: educational framework exploring ergonomic, lightweight multi-agent orchestration.

From GitHub data refreshed daily.

A programming framework for agentic AI

Swarmopen-source

Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.

+Lightweight and highly controllable design that avoids steep learning curves while enabling complex multi-agent interactions
+Highly customizable architecture allowing developers to build scalable, real-world solutions with flexible agent coordination patterns
+Easily testable framework with simple primitives that make debugging and validation straightforward

-Experimental and educational status means it's not intended for production use cases
-Now officially replaced by OpenAI Agents SDK, making it a deprecated solution
-Stateless design between calls requires external state management for persistent conversations

•Learning and experimenting with multi-agent orchestration patterns in a controlled educational environment
•Prototyping systems with large numbers of independent capabilities that are difficult to encode in single prompts
•Building lightweight agent coordination systems where full state management isn't required

Which is more popular, AutoGen or Swarm?: AutoGen has more GitHub stars (61,248 vs 22,034).
Which is more actively developed, AutoGen or Swarm?: AutoGen had more commits in the last 90 days (0 vs 0).
Should I use AutoGen or Swarm?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.