agno

A fast, content-first static site generator written in Rust

A new way for AI to search for data
View on GitHub
8GitHub stars

Rust

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit dd26606f31 (2026-10-23).

Selected work

agnogad
@agnogad

“add search index and richer blog metadata”. 6 files, 212 lines in src, tests, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

blogmarkdownrustssgstatic-site-generator

Example questions

The prompt

Paste it into your AI agent. It clones agnogad/agno at the pinned commit and indexes it on your machine.

Search the GitHub repository agnogad/agno with XERJ (https://hub.xerj.org/corpus/agnogad--agno).
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/agnogad/agno agno && git -C agno checkout dd26606f31d7fea1f4c9b32b0848317aef30c688
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agno --url http://127.0.0.1:9200 --prefix agno --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.

Related

Selected work and consent: the XERJ registry.