ruanwen-agent
NightfirePlus/ruanwen-agent (Python)
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“implement chunked multi-model content pipeline”. 24 files, 1,578 lines in agent, tests, tools.
Licence
The repository
Apache-2.0
Checked by a person at the pinned commit.
The XERJ corpus
Apache-2.0, 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
- Where does ruanwen-agent handle “implement chunked multi-model content pipeline”?
- What does agent do in ruanwen-agent?
The prompt
Paste it into your AI agent. It clones NightfirePlus/ruanwen-agent at the pinned commit and indexes it on your machine.
Search the GitHub repository NightfirePlus/ruanwen-agent with XERJ (https://hub.xerj.org/corpus/nightfireplus--ruanwen-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/NightfirePlus/ruanwen-agent ruanwen-agent && git -C ruanwen-agent checkout 8c71da3fe3f9242fc996792c364aa64fc3079822 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ruanwen-agent --url http://127.0.0.1:9200 --prefix ruanwen-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: Apache-2.0. Keep the copyright notice and credit the authors.
Related
陈睿洋AI, prompts and agents corpora
Selected work and consent: the XERJ registry.