xrpl_agent_log

Tamper-evident history log for AI agents on the XRP Ledger: append-only, hash-chained, mutually-signed, optionally XRPL-anchored

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit aa453a71bb (2026-09-30).

Selected work

“extended live XRPL testnet verification (4 phases)”. 5 files, 588 lines in scripts, 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 2026-10-24. 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 DuNorth595/xrpl_agent_log at the pinned commit and indexes it on your machine.

Search the GitHub repository DuNorth595/xrpl_agent_log with XERJ (https://hub.xerj.org/corpus/dunorth595--xrpl-agent-log).
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/DuNorth595/xrpl_agent_log xrpl_agent_log && git -C xrpl_agent_log checkout aa453a71bba0fcb601797b24dbb8279de3bd76eb
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./xrpl_agent_log --url http://127.0.0.1:9200 --prefix xrpl-agent-log --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.