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.

Dev-GPTopen-source

Your Virtual Development Team

πŸ™Œ OpenHands: AI-Driven Development

Metrics

Dev-GPTOpenHands
Stars1.9k89.8k
Star velocity /mo-0.31578947368421053.2k
Commits (90d)0668
Releases (6m)010
Downloads (30d, npm + PyPI)7017.1K
Overall score0.123101805803419480.8744622690849841

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.