Distilly vs headroom
Side-by-side comparison of two AI agent tools
Short answer
- headroom is growing faster: +1,380 GitHub stars in the last 30 days vs +870 for Distilly.
- Pick Distilly for: distilly — Distill how they think into reusable Skills for any Agent or Bot. Pick headroom for: compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach LLMs.
From GitHub data refreshed daily.
D
Distillyopen-source
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）.
h
headroomopen-source
Compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach LLMs
Metrics
| Distilly | headroom | |
|---|---|---|
| Stars | 25.3k | 74.3k |
| Star velocity /mo | 870 | 1.4k |
| Commits (90d) | 31 | 1.2k |
| Releases (6m) | 0 | 10 |
| Downloads (30d, npm + PyPI) | — | 246.3K |
| Overall score | 0.5714059308804199 | 0.8788654416490241 |
FAQ
- Which is more popular, Distilly or headroom?
- headroom has more GitHub stars (74,314 vs 25,262).
- Which is more actively developed, Distilly or headroom?
- headroom had more commits in the last 90 days (1,226 vs 31).
- Should I use Distilly or headroom?
- 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.