Dev-GPT vs OpenHands
Side-by-side comparison of two AI agent tools
Short answer
- Dev-GPT has had no commit in 39 months; OpenHands is actively maintained (668 commits in the last 90 days).
- OpenHands is growing faster: +3,150 GitHub stars in the last 30 days vs +-0 for Dev-GPT.
- Pick Dev-GPT for: your Virtual Development Team. Pick OpenHands for: openHands: AI-Driven Development.
From GitHub data refreshed daily.
Metrics
| Dev-GPT | OpenHands | |
|---|---|---|
| Stars | 1.9k | 89.8k |
| Star velocity /mo | -0.3157894736842105 | 3.2k |
| Commits (90d) | 0 | 668 |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | 70 | 17.1K |
| Overall score | 0.12310180580341948 | 0.8744622690849841 |
Pros
- +Multi-agent AI system with specialized roles (Product Manager, Developer, DevOps) provides comprehensive development coverage
- +Simple installation and CLI interface makes it accessible to developers of all skill levels
- +Cross-platform support and integration with popular APIs (OpenAI, Google) ensures broad compatibility
- +Multiple interface options (SDK, CLI, GUI) allowing developers to choose the best fit for their workflow and technical expertise
- +Highly scalable architecture that supports both local development and cloud deployment of thousands of agents simultaneously
- +Strong performance with 77.6 SWEBench score and active community support with nearly 70,000 GitHub stars
Cons
- -Experimental version status indicates potential instability and incomplete features
- -Requires paid OpenAI API access, adding ongoing operational costs
- -Limited scope to microservice development only, not suitable for larger applications or different architectural patterns
- -Complex setup process with multiple components and repositories that may overwhelm new users
- -Limited documentation clarity with information scattered across different repositories and interfaces
- -Requires significant technical knowledge to effectively configure and customize agents for specific development needs
Use Cases
- β’Rapid prototyping of microservices for MVP development and proof-of-concept projects
- β’Solo developers or small teams lacking expertise in specific areas (DevOps, architecture) who need full-stack automation
- β’Learning and experimentation with microservice architecture patterns through AI-generated examples
- β’Automating repetitive coding tasks and software development workflows across large development teams
- β’Building custom AI development assistants tailored to specific project requirements and coding standards
- β’Scaling AI-assisted development operations from individual developers to enterprise-level cloud deployments
FAQ
- Which is more popular, Dev-GPT or OpenHands?
- OpenHands has more GitHub stars (89,849 vs 1,866).
- Which is more actively developed, Dev-GPT or OpenHands?
- OpenHands had more commits in the last 90 days (668 vs 0).
- Should I use Dev-GPT or OpenHands?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.