Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
MemTensor/MemOS is drawing steady momentum at +21.4 stars/day (83rd percentile in the tracked cohort), for a momentum score of 71.6/100. A recent release is helping fuel the run.
Reconstructed from 229 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 59.
Release count rose to 58.
Release count rose to 57.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/MemTensor/MemOS)Elevated breakout odds over the next 14 days, led by star acceleration (78th pctl) and star velocity (83th pctl). Confidence is high given the available history.
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 56.
~10 forks/day, 5.9× the trailing baseline.
Release count rose to 55.
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