open-etf-agent

Build an ETF research agent, one working module at a time. Runnable code, bilingual deep dives, and a traceable 0→1 journey.|逐模块构建 ETF 投研…

A new way for AI to search for data
View on GitHub
13GitHub stars

JavaScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit dad9c6e64f (2026-10-27).

Selected work

pengfei huang
@hpoenixf

“drive one durable Run from a separate CLI worker”. 9 files, 354 lines in test, src, openspec.

Licence

The repository

MIT

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

The XERJ corpus

MIT, with credit

The author agreed by email 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

ai-agentharnessharness-engineeringinvestment-researchlearning-by-doingagent-runtimecheckpointingcli

Example questions

The prompt

Paste it into your AI agent. It clones hpoenixf/open-etf-agent at the pinned commit and indexes it on your machine.

Search the GitHub repository hpoenixf/open-etf-agent with XERJ (https://hub.xerj.org/corpus/hpoenixf--open-etf-agent).
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/hpoenixf/open-etf-agent open-etf-agent && git -C open-etf-agent checkout dad9c6e64f32c3d7579aea96613776b40917ec6d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./open-etf-agent --url http://127.0.0.1:9200 --prefix open-etf-agent --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.