Dev-GPT vs omp
Side-by-side comparison of two AI agent tools
Short answer
- Dev-GPT has had no commit in 39 months; omp is actively maintained (13,995 commits in the last 90 days).
- omp is growing faster: +3,030 GitHub stars in the last 30 days vs +-0 for Dev-GPT.
- Pick Dev-GPT for: your Virtual Development Team. Pick omp for: ⌥ Coding agent with the IDE wired in.
From GitHub data refreshed daily.
Dev-GPTopen-source
Your Virtual Development Team
o
ompopen-source
⌥ Coding agent with the IDE wired in. Built by Stencil Labs.
Metrics
| Dev-GPT | omp | |
|---|---|---|
| Stars | 1.9k | 34.1k |
| Star velocity /mo | -0.31746031746031744 | 3.0k |
| Commits (90d) | 0 | 14.0k |
| Releases (6m) | 0 | 10 |
| Overall score | 0.1306053811660771 | 0.9384072578113428 |
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
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
Use Cases
- •Rapid prototyping of microservices for MVP development and proof-of-concept projects
- •Solo developers or small teams lacking expertise in specific areas (DevOps, architecture) who need full-stack automation
- •Learning and experimentation with microservice architecture patterns through AI-generated examples
FAQ
- Which is more popular, Dev-GPT or omp?
- omp has more GitHub stars (34,075 vs 1,866).
- Which is more actively developed, Dev-GPT or omp?
- omp had more commits in the last 90 days (13,995 vs 0).
- Should I use Dev-GPT or omp?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.