gnacho /
deltos
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A new way for AI to search for data
3GitHub stars
What XERJ indexed
Selected work

“Migrate the server and landing to TypeScript”. 47 files, 3,040 lines in server, landing, the project root.
Licence
The repository
AGPL-3.0
Checked by a person at the pinned commit.
The XERJ corpus
Approach only
The author agreed by email on 2026-10-05. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: approach only
Example questions
- Where does deltos handle “Migrate the server and landing to TypeScript”?
- What does server do in deltos?
The prompt
Paste it into your AI agent. It clones gnacho/deltos at the pinned commit and indexes it on your machine.
Search the GitHub repository gnacho/deltos with XERJ (https://hub.xerj.org/corpus/gnacho--deltos). 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/gnacho/deltos deltos && git -C deltos checkout 58619ce3fa7db7a6e29df7c64fc3936a3f31dc0c 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./deltos --url http://127.0.0.1:9200 --prefix deltos --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: AGPL-3.0. Read it for the approach only, do not copy code.
Related
NachoDatabases and storage engines corpora
Selected work and consent: the XERJ registry.