Which is more popular, FastAgency or Ruflo?

Ruflo has more GitHub stars (73,574 vs 548).

Which is more actively developed, FastAgency or Ruflo?

Ruflo had more commits in the last 90 days (686 vs 0).

Should I use FastAgency or Ruflo?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

FastAgency vs Ruflo

Side-by-side comparison of two AI agent tools

FastAgencyopen-source

The fastest way to bring multi-agent workflows to production.

Rufloopen-source

🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive m

Metrics

	FastAgency	Ruflo
Stars	548	73.6k
Star velocity /mo	2.5668449197860963	6.1k
Commits (90d)	0	686
Releases (6m)	0	10
Overall score	0.1748368139787146	0.896706206382816

Pros

+Unified interface for deploying AG2 workflows to production with minimal code changes
+Supports both web chat applications and REST API services from the same codebase
+Built-in scaling capabilities with distributed architecture and message broker coordination

Cons

-Dependent on AG2 framework, limiting flexibility to other agent frameworks
-Relatively small community with 532 GitHub stars compared to major frameworks
-Limited documentation available in the provided materials for advanced features

Use Cases

•Deploying AG2 multi-agent chatbots as web applications for customer service or support
•Creating REST API services that expose agent workflows for integration with existing systems
•Building scalable distributed agent systems that coordinate across multiple servers or datacenters

View FastAgency Details View Ruflo Details

FAQ

Which is more popular, FastAgency or Ruflo?: Ruflo has more GitHub stars (73,574 vs 548).
Which is more actively developed, FastAgency or Ruflo?: Ruflo had more commits in the last 90 days (686 vs 0).
Should I use FastAgency or Ruflo?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.