h8s

h8s | httptonats - HTTP and bi-directional websockets over NATS

A new way for AI to search for data
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What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 5024db02e9 (2026-10-16).

Selected work

“Added self-signed tls mode”. 3 files, 247 lines in pkg/h8sproxy, cmd/h8sd.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-17. 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

The prompt

Paste it into your AI agent. It clones Mattilsynet/h8s at the pinned commit and indexes it on your machine.

Search the GitHub repository Mattilsynet/h8s with XERJ (https://hub.xerj.org/corpus/mattilsynet--h8s).
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/Mattilsynet/h8s h8s && git -C h8s checkout 5024db02e971079c391e6891f529b2cf4cbbd9a0
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./h8s --url http://127.0.0.1:9200 --prefix h8s --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.