headroom vs Memori

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 +370 for Memori.
  • headroom is open-source; Memori is freemium.
  • Pick headroom for: compresses tool outputs, logs, RAG chunks, files, and conversation history before they reach LLMs. Pick Memori for: lLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state.

From GitHub data refreshed daily.

h
headroomopen-source

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

M
Memorifreemium

LLM-agnostic memory infrastructure that turns agent execution and conversations into persistent state

Metrics

headroomMemori
Stars74.3k17.1k
Star velocity /mo1.4k370
Commits (90d)1.2k5
Releases (6m)1010
Downloads (30d, npm + PyPI)246.3K19.1K
Overall score0.87886544164902410.6281376966364172

FAQ

Which is more popular, headroom or Memori?
headroom has more GitHub stars (74,314 vs 17,064).
Which is more actively developed, headroom or Memori?
headroom had more commits in the last 90 days (1,226 vs 5).
Should I use headroom or Memori?
Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.