headroom vs Supermemory
Side-by-side comparison of two AI agent tools
h
headroomopen-source
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Li
S
Supermemoryopen-source
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
Metrics
| headroom | Supermemory | |
|---|---|---|
| Stars | 74.2k | 31.0k |
| Star velocity /mo | 6.2k | 2.6k |
| Commits (90d) | 1.2k | 182 |
| Releases (6m) | 10 | 10 |
| Overall score | 0.91550535160014 | 0.8140953755537769 |
FAQ
- Which is more popular, headroom or Supermemory?
- headroom has more GitHub stars (74,176 vs 31,039).
- Which is more actively developed, headroom or Supermemory?
- headroom had more commits in the last 90 days (1,163 vs 182).
- Should I use headroom or Supermemory?
- 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.