GPT Engineer vs OpenHands
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
OpenHands
Autonomous AI software engineering agent
| Feature | GPT Engineer | OpenHands |
|---|---|---|
| Deploy effort | Read-the-docs project | Under-an-hour setup |
| Health score | 15 · At risk | 100 · Excellent |
| Status | Archived | Actively maintained |
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Python | TypeScript |
| Setup difficulty | Medium | Medium |
| Min. RAM | 1,024 MB | 4,096 MB |
| Deployment | source | docker, source |
| GitHub stars | ★ 55,086 | ★ 89,007 |
| First released | 2023 | 2024 |
| Replaces | GitHub Copilot Workspace | Devin, GitHub Copilot Workspace |
What are GPT Engineer and OpenHands?
GPT Engineer
GPT Engineer is an open-source agent that builds whole codebases from a single high-level prompt and asks clarifying questions when needed. It can run against locally hosted models and iteratively improves generated code.
- Whole-codebase generation
- Clarifying question loop
- Local model support
- Iterative refinement
OpenHands
OpenHands, formerly OpenDevin, is a platform for AI agents that can write code, run commands, and browse the web to complete software development tasks. It can be self-hosted and connected to local or remote models.
- Autonomous coding agent
- Sandboxed command execution
- Web browsing capability
- Pluggable model backends
GPT Engineer vs OpenHands: key differences
The biggest difference is maintenance: GPT Engineer's repository is archived and no longer developed, while OpenHands is actively maintained. GPT Engineer is written in Python, while OpenHands is built with TypeScript. GPT Engineer is the lighter option, starting around 1,024 MB of RAM against 4,096 MB for OpenHands. OpenHands lists first-class Docker deployment; GPT Engineer does not.
Why pick each one
Choose GPT Engineer if…
- Simple prompt-driven workflow
- Iterative code improvement
- Supports local models
Watch out for
- Upstream development stopped
- Output needs review
Choose OpenHands if…
- Autonomous task execution
- Works with many models
- Sandboxed Docker runtime
Watch out for
- Token costs add up
- Results can vary
Frequently asked questions
Is GPT Engineer or OpenHands better?
Neither is universally better. OpenHands has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are GPT Engineer and OpenHands free and open-source?
Yes. GPT Engineer is licensed under MIT and OpenHands under MIT. Both can be self-hosted at no software cost.
Can I run GPT Engineer and OpenHands with Docker?
GPT Engineer: check the project docs for container support. OpenHands: yes.
Which is lighter on resources, GPT Engineer or OpenHands?
GPT Engineer has the smaller minimum footprint at 1,024 MB of RAM, compared to about 4,096 MB for OpenHands. Real-world usage depends on library size, user count, and enabled features.