Agno vs DeepSeek Harness
Side-by-side comparison of two AI agent tools
Short answer
- DeepSeek Harness is growing faster: +16,130 GitHub stars in the last 30 days vs +1,080 for Agno.
- Pick Agno for: build, run, and manage agent platforms. Pick DeepSeek Harness for: deepSeek Harness: Everything is a Plugin.
From GitHub data refreshed daily.
A
Agnoopen-source
Build, run, and manage agent platforms.
D
DeepSeek Harnessopen-source
DeepSeek Harness: Everything is a Plugin.
Metrics
| Agno | DeepSeek Harness | |
|---|---|---|
| Stars | 42.5k | 242.6k |
| Star velocity /mo | 1.1k | 16.1k |
| Commits (90d) | 351 | 19.8k |
| Releases (6m) | 10 | 10 |
| Downloads (30d, npm + PyPI) | 1.7M | — |
| Overall score | 0.8265030856638511 | 0.9562973226855356 |
FAQ
- Which is more popular, Agno or DeepSeek Harness?
- DeepSeek Harness has more GitHub stars (242,644 vs 42,524).
- Which is more actively developed, Agno or DeepSeek Harness?
- DeepSeek Harness had more commits in the last 90 days (19,802 vs 351).
- Should I use Agno or DeepSeek Harness?
- 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.