DeepCode vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- OmO is growing faster: +1,005 GitHub stars in the last 30 days vs +60 for DeepCode.
- Pick DeepCode for: "DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)". Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.
From GitHub data refreshed daily.
D
DeepCodeopen-source
"DeepCode: Open Agentic Coding (Agent Harness & Loop Engineering & Multi-Agent Orchestration)"
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| DeepCode | OmO | |
|---|---|---|
| Stars | 16.7k | 69.8k |
| Star velocity /mo | 60 | 1.0k |
| Commits (90d) | 366 | 9.4k |
| Releases (6m) | 5 | 10 |
| Overall score | 0.6349523580150198 | 0.9105351293499632 |
FAQ
- Which is more popular, DeepCode or OmO?
- OmO has more GitHub stars (69,754 vs 16,665).
- Which is more actively developed, DeepCode or OmO?
- OmO had more commits in the last 90 days (9,367 vs 366).
- Should I use DeepCode 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.