FastAgency vs Windmill
Side-by-side comparison of two AI agent tools
Short answer
- FastAgency has had no commit in 9 months; Windmill is actively maintained (1,264 commits in the last 90 days).
- Windmill is growing faster: +316 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 Windmill for: open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs.
From GitHub data refreshed daily.
FastAgencyopen-source
The fastest way to bring multi-agent workflows to production.
Windmillopen-source
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Metrics
| FastAgency | Windmill | |
|---|---|---|
| Stars | 548 | 18.1k |
| Star velocity /mo | 2.526315789473684 | 316.10526315789474 |
| Commits (90d) | 0 | 1.3k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 396 | — |
| Overall score | 0.16848510206411044 | 0.8093821444423039 |
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
- +Multi-language support with automatic UI generation from scripts in Python, TypeScript, Go, Bash, SQL, and more
- +High performance workflow engine claiming 13x faster execution than Airflow
- +Self-hostable open-source solution with AGPLv3 license providing full control and customization
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
- -AGPLv3 license may restrict some commercial use cases and require careful compliance consideration
- -Being a comprehensive platform may introduce complexity for simple automation tasks
- -Self-hosting requires infrastructure management and maintenance overhead
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
- •Building internal APIs and webhooks from existing scripts without additional infrastructure
- •Creating automated workflows for background jobs and data processing pipelines
- •Developing low-code internal applications with custom UIs for non-technical team members
FAQ
- Which is more popular, FastAgency or Windmill?
- Windmill has more GitHub stars (18,092 vs 548).
- Which is more actively developed, FastAgency or Windmill?
- Windmill had more commits in the last 90 days (1,264 vs 0).
- Should I use FastAgency or Windmill?
- 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.