DeepSeek Harness vs OmO
Side-by-side comparison of two AI agent tools
Short answer
- DeepSeek Harness is growing faster: +16,095 GitHub stars in the last 30 days vs +1,005 for OmO.
- Pick DeepSeek Harness for: deepSeek Harness: Everything is a Plugin. Pick OmO for: omO: Just type "mass ulw" keyword with your prompt.
From GitHub data refreshed daily.
D
DeepSeek Harnessopen-source
DeepSeek Harness: Everything is a Plugin.
O
OmOopen-source
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Metrics
| DeepSeek Harness | OmO | |
|---|---|---|
| Stars | 242.1k | 69.8k |
| Star velocity /mo | 16.1k | 1.0k |
| Commits (90d) | 19.6k | 9.4k |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9504253212996784 | 0.9105351293499632 |
FAQ
- Which is more popular, DeepSeek Harness or OmO?
- DeepSeek Harness has more GitHub stars (242,104 vs 69,754).
- Which is more actively developed, DeepSeek Harness or OmO?
- DeepSeek Harness had more commits in the last 90 days (19,632 vs 9,367).
- Should I use DeepSeek Harness 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.