ha-matter-u200

alexruperez/ha-matter-u200 (Python)

A new way for AI to search for data
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1commits on main
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2025.5.3-u200latest release, 2025-06-07

Python 100% · created 2025-06-07 · last push 2025-06-07

What XERJ indexed

Snapshot

30 files · 289.4 KB

The whole repository at commit aaa84f9bd2. It is the newest commit on main.

Selected work

Alex Rupérez
@alexruperez

Licence

The repository

NONE

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

NONE, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

The prompt

Paste it into your AI agent. It clones alexruperez/ha-matter-u200 at the pinned commit and indexes it on your machine.

Search the GitHub repository alexruperez/ha-matter-u200 with XERJ (https://hub.xerj.org/corpus/alexruperez--ha-matter-u200).
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/alexruperez/ha-matter-u200 ha-matter-u200 && git -C ha-matter-u200 checkout aaa84f9bd2dd7631a29045dc68e2178e7ff2c063
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ha-matter-u200 --url http://127.0.0.1:9200 --prefix ha-matter-u200 --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: check the LICENSE file. Keep the copyright notice and credit the authors.

Related

Stats: GitHub API, fetched 2026-10-29. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.