FastAgency vs Ruflo
Side-by-side comparison of two AI agent tools
Short answer
- FastAgency has had no commit in 9 months; Ruflo is actively maintained (900 commits in the last 90 days).
- Ruflo is growing faster: +1,940 GitHub stars in the last 30 days vs +3 for FastAgency.
- Pick FastAgency for: the fastest way to bring multi-agent workflows to production. Pick Ruflo for: agent framework for multi-agent swarms, autonomous workflows, adaptive memory, and vector RAG.
From GitHub data refreshed daily.
FastAgencyopen-source
The fastest way to bring multi-agent workflows to production.
R
Rufloopen-source
Agent framework for multi-agent swarms, autonomous workflows, adaptive memory, and vector RAG
Metrics
| FastAgency | Ruflo | |
|---|---|---|
| Stars | 548 | 73.8k |
| Star velocity /mo | 2.526315789473684 | 1.9k |
| Commits (90d) | 0 | 900 |
| Releases (6m) | 0 | 10 |
| Overall score | 0.16848510206411044 | 0.8795362848711274 |
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
FAQ
- Which is more popular, FastAgency or Ruflo?
- Ruflo has more GitHub stars (73,768 vs 548).
- Which is more actively developed, FastAgency or Ruflo?
- Ruflo had more commits in the last 90 days (900 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.