Xerj Corpus Hub: free, open-source local reference memory for AI agents
Overview
Xerj releases Corpus Hub, a free open-source tool under Apache 2.0 that lets AI agents search indexed expert corpora while they work, without retraining.
Xerj describes the tool as "free and OSS forever" and says it runs locally and works with any model, according to Elvis Saravia (@omarsar0). Saravia says installation takes one prompt and that agents can index a project's sources, docs and logs as reference memory.
Santiago (@svpino) describes the same tool as an engine that gives agents indexed content such as source code, engineering guidelines, documentation and security information. He says agents can use that material in tasks such as reviewing an application for vulnerabilities. Both reports repeat Xerj's own description of the tool, and neither reports independent testing.
Written by AI from the articles below · updated Oct 13, 1:53 PM ET
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Developments
2 developments
- Oct 13, 1:35 PM ET · 1 articleXERJ Corpus Hub, an open-source reference memory engine for AI agentsSantiago: XERJ Corpus Hub gives AI agents indexed reference knowledge
- Oct 13, 12:38 PM ET · 1 articleXerj Corpus Hub launched as free open-source reference memory for AI agentsElvis Saravia: Xerj Corpus Hub lets AI agents search expert knowledge locally
Article timeline
The articles in this story. Times are ET.
Santiago@svpinoXXERJ Corpus Hub gives AI agents indexed reference knowledgeAISantiago (@svpino) describes XERJ Corpus Hub, an open-source engine that adds an indexed content library to AI agents without retraining. Agents can search source code, engineering guidelines, documentation, and security information, then use that evidence in tasks such as reviewing an application for vulnerabilities. The engine is free.
elvis@omarsar0XXerj Corpus Hub lets AI agents search expert knowledge locallyAIXerj Corpus Hub lets any LLM agent search a ready-made corpus of docs, guidelines, or source code while it works, with no retraining. The tool is free, open source under Apache 2.0, and runs locally. Installation takes one prompt, and agents can index a project's sources, docs, and logs as reference memory.

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