GPT Engineer vs PrivateGPT
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?
GPT Engineer
Generate entire codebases from a natural language prompt
VS
PrivateGPT
Ask questions about your documents fully offline
| Feature | GPT Engineer | PrivateGPT |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 8,192 MB |
| Deployment | source | docker, bare-metal, source |
| GitHub stars | ★ 55,157 | ★ 57,416 |
| First released | 2023 | 2023 |
| Replaces | GitHub Copilot Workspace | ChatGPT |
Why pick each one
Choose GPT Engineer if…
- Released under the MIT license
- Mature project with 55.2k GitHub stars
- Written in Python
Choose PrivateGPT if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 57.4k GitHub stars
- Written in Python
Frequently asked questions
Is GPT Engineer or PrivateGPT better?
Neither is universally better. PrivateGPT has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are GPT Engineer and PrivateGPT free and open-source?
Yes. GPT Engineer is licensed under MIT and PrivateGPT under Apache-2.0. Both can be self-hosted at no software cost.
Can I run GPT Engineer and PrivateGPT with Docker?
GPT Engineer: check the project docs for container support. PrivateGPT: yes.