xerj-org/xerj: 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
Why CEREBRO kept it
Token-saving indexing for agents; targets grep and sed token waste.
The text below is an automated extraction of the article at https://github.com/xerj-org/xerj, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (github.com).
XERJ is a community-trusted local AI search that indexes any folder automatically, so your coding agent stops burning tokens reading files one by one and pulls the exact code it needs instead. Reference coding is its main use case and the clearest win: point an agent at a task and it downloads the open-source repos closest to it, indexes them, and reuses how they solved the problem before writing its own code. In a controlled study that cut a coding agent's output tokens by 2.7x at the same 16/16 solve rate (case study), and people report roughly 5x in everyday work (field reports). It is enou
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xerj-org is profiled here from public GitHub push activity.
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