Lybrands /
purra
Business-agnostic, host-embedded Agent runtime framework
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“release 1.0.3 with independent Python presentation outcomes”. 23 files, 542 lines in tests, src/purra, integrations.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-22. 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
Example questions
- Where does purra handle “release 1.0.3 with independent Python presentation outcomes”?
- What does src/purra do in purra?
The prompt
Paste it into your AI agent. It clones Lybrands/purra at the pinned commit and indexes it on your machine.
Search the GitHub repository Lybrands/purra with XERJ (https://hub.xerj.org/corpus/lybrands--purra). 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/Lybrands/purra purra && git -C purra checkout f7049ba1531de2e5be14f531ebb243b023d71eea 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./purra --url http://127.0.0.1:9200 --prefix purra --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
LybrandsAI, prompts and agents corpora
Selected work and consent: the XERJ registry.