One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
EverMind-AI/EverOS is drawing steady momentum at +21.0 stars/day (82nd percentile in the tracked cohort), for a momentum score of 37.8/100. A recent release is helping fuel the run.
Low breakout odds over the next 14 days, led by star velocity (82th pctl) and push recency (98th pctl). Confidence is high given the available history.
Reconstructed from 233 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 17.
Release count rose to 13.
Release count rose to 12.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/EverMind-AI/EverOS)Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.
Release count rose to 11.
Release count rose to 10.
Release count rose to 9.