CarlesCanos

CarlesCanos

Corpus Hub contributor since 2026-10-15

CarlesCanos's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus
1selected commit
15files
493lines
★ 1GitHub stars on repo

Totals across every corpus @CarlesCanos appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the RAGen corpus

CarlesCanos/RAGen: A lightweight, no-Docker local RAG for Windows and Linux using Ollama and Chroma

Example questions
Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.
Search the GitHub repository CarlesCanos/RAGen with XERJ (https://hub.xerj.org/corpus/carlescanos--ragen).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/CarlesCanos/RAGen RAGen && git -C RAGen checkout d8dbcb8ad750e64c1ec9b552bfcfac5563ed92bc
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./RAGen --url http://127.0.0.1:9200 --prefix ragen --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

corpus carlescanos--ragen · AI, prompts and agents
Related corpora: lexbuild, mkcert, EthanChan050430/Saki-Panel, aryanjsx/Locus
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

CarlesCanos/RAGen

d8dbcb8ad7 Improve Ollama diagnostics and recovery
selected commit: 15 files · 493 lines · TypeScript, JavaScript · rag, the project root, hono-chat

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

selected · in licence reviewcorpus carlescanos--ragenAIMITchromadblocal-llmlocal-ragollamaragtypescript agreed 2026-10-15

Not installable yet: this corpus is not in the hub registry until its licence review passes, so xerj corpus add and xerj ask cannot fetch it. It becomes installable when this card says live in the hub.

XERJ Corpus Hub contributor badge
[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/CarlesCanos/badge.svg)](https://hub.xerj.org/contributors/CarlesCanos)

Included with the author's permission (email, 2026-10-15), under each repository's own licence, with attribution. Want it removed? Reply to the email or open an issue on xerj-org/xerj.