Dev-GPT vs OmO

Side-by-side comparison of two AI agent tools

Short answer

  • Dev-GPT has had no commit in 39 months; OmO is actively maintained (9,367 commits in the last 90 days).
  • OmO is growing faster: +1,005 GitHub stars in the last 30 days vs +-0 for Dev-GPT.
  • Pick Dev-GPT for: your Virtual Development Team. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.

From GitHub data refreshed daily.

Dev-GPTopen-source

Your Virtual Development Team

O
OmOopen-source

OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.

Metrics

Dev-GPTOmO
Stars1.9k69.8k
Star velocity /mo-0.317460317460317441.0k
Commits (90d)09.4k
Releases (6m)010
Overall score0.13060538116607710.9105351293499632

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 OmO?
        OmO has more GitHub stars (69,754 vs 1,866).
        Which is more actively developed, Dev-GPT or OmO?
        OmO had more commits in the last 90 days (9,367 vs 0).
        Should I use Dev-GPT or OmO?
        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.
        Dev-GPT vs OmO (2026): GitHub Stats, Features & Which to Choose