DeepCode vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- OmO is growing faster: +810 GitHub stars in the last 30 days vs +40 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.
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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 | 40 | 810 |
| Commits (90d) | 362 | 9.7k |
| Releases (6m) | 5 | 10 |
| Downloads (30d, npm + PyPI) | 618 | 91.7K |
| Overall score | 0.597276451862984 | 0.8973547831718989 |
FAQ
- Which is more popular, DeepCode or OmO?
- OmO has more GitHub stars (69,768 vs 16,665).
- Which is more actively developed, DeepCode or OmO?
- OmO had more commits in the last 90 days (9,692 vs 362).
- 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.