AgentPilot vs Windmill
Side-by-side comparison of two AI agent tools
Short answer
- AgentPilot has had no commit in 16 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 +5 for AgentPilot.
- Pick AgentPilot for: a versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM. 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.
AgentPilotfree
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
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
| AgentPilot | Windmill | |
|---|---|---|
| Stars | 569 | 18.1k |
| Star velocity /mo | 4.894736842105264 | 316.10526315789474 |
| Commits (90d) | 0 | 1.3k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 17 | — |
| Overall score | 0.1813378714579595 | 0.8093821444423039 |
Pros
- +Supports both simple LLM chats and complex multi-agent workflows in a single platform
- +Highly customizable interface with generative UI capabilities for creating tailored workflow experiences
- +Natural language scheduling system enables intuitive automation setup from simple to complex recurring patterns
- +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
- -Desktop-only application limits accessibility compared to web-based alternatives
- -Early version (0.5.1) suggests the platform may lack enterprise-grade features and stability
- -No apparent built-in collaboration or team management features for multi-user environments
- -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
- •Automating recurring AI tasks like content generation, data processing, or monitoring with flexible scheduling
- •Building interactive AI assistants with branching conversation flows for customer support or internal tools
- •Creating custom AI workflow interfaces for specific business processes requiring multi-step agent coordination
- •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, AgentPilot or Windmill?
- Windmill has more GitHub stars (18,092 vs 569).
- Which is more actively developed, AgentPilot or Windmill?
- Windmill had more commits in the last 90 days (1,264 vs 0).
- Should I use AgentPilot or Windmill?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.