Chatd vs Langflow
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?
Chatd
Chat with your documents using local AI
VS
Langflow
Visual framework for building AI agents and RAG pipelines
| Feature | Chatd | Langflow |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | JavaScript | Python |
| Setup difficulty | Easy | Medium |
| Min. RAM | 8,192 MB | 2,048 MB |
| Deployment | binary | docker, kubernetes, bare-metal |
| GitHub stars | ★ 1,080 | ★ 152,941 |
| First released | 2023 | 2023 |
| Replaces | NotebookLM | Vertex AI Agent Builder |
Why pick each one
Choose Chatd if…
- Released under the MIT license
- Easy to set up — beginner-friendly
- Active community (1.1k GitHub stars)
- Written in JavaScript
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
Frequently asked questions
Is Chatd or Langflow better?
Neither is universally better. Langflow has the larger community, while Chatd is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Chatd and Langflow free and open-source?
Yes. Chatd is licensed under MIT and Langflow under MIT. Both can be self-hosted at no software cost.
Can I run Chatd and Langflow with Docker?
Chatd: check the project docs for container support. Langflow: yes.