XERJ is the new way for AI to search data. Its autoindex capability activates agents to know your data without the token waste of grep and sed. One command indexes code, docs, logs and PDFs for search, RAG, security audits and agent memory, using 40x fewer tokens than grep. Elasticsearch compatible, so existing clients just work.
xerj-org/xerj is drawing steady momentum at +280.7 stars/day (98th percentile in the tracked cohort), for a momentum score of 49.2/100. A recent release is helping fuel the run.
Reconstructed from 131 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 703.
Release count rose to 697.
Release count rose to 669.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/xerj-org/xerj)Low breakout odds over the next 14 days, led by star velocity (98th pctl) and fork velocity (98th 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 665.
Release count rose to 660.
Release count rose to 656.
Release count rose to 652.
Release count rose to 642.
Release count rose to 636.
Release count rose to 626.
Release count rose to 502.