Langflow vs SWE-agent
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Langflow
Visual framework for building AI agents and RAG pipelines
VS
SWE-agent
Language-model agent that resolves GitHub issues
| Feature | Langflow | SWE-agent |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 2,048 MB |
| Deployment | docker, kubernetes, bare-metal | docker, source |
| GitHub stars | ★ 152,941 | ★ 20,018 |
| First released | 2023 | 2024 |
| Replaces | Vertex AI Agent Builder | Devin |
Why pick each one
Choose Langflow if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 152.9k GitHub stars
Choose SWE-agent if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 20k GitHub stars
- Written in Python
Frequently asked questions
Is Langflow or SWE-agent better?
Neither is universally better. Langflow has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Langflow and SWE-agent free and open-source?
Yes. Langflow is licensed under MIT and SWE-agent under MIT. Both can be self-hosted at no software cost.
Can I run Langflow and SWE-agent with Docker?
Langflow: yes. SWE-agent: yes.