headroom vs screenpipe

Side-by-side comparison of two AI agent tools

Short answer

  • headroom is growing faster: +1,515 GitHub stars in the last 30 days vs +210 for screenpipe.
  • Pick headroom for: compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach LLMs. Pick screenpipe for: yC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents.

From GitHub data refreshed daily.

h
headroomopen-source

Compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach LLMs

s
screenpipeopen-source

YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)

Metrics

headroomscreenpipe
Stars74.3k21.8k
Star velocity /mo1.5k210
Commits (90d)1.2k2.8k
Releases (6m)1010
Overall score0.88963269082206380.8133409649144364

FAQ

Which is more popular, headroom or screenpipe?
headroom has more GitHub stars (74,277 vs 21,797).
Which is more actively developed, headroom or screenpipe?
screenpipe had more commits in the last 90 days (2,791 vs 1,208).
Should I use headroom or screenpipe?
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.
headroom vs screenpipe (2026): GitHub Stats, Features & Which to Choose