CodexChat-
OpenAI Codex VS Code 扩展的本地会话伴生管理器。它读取本机.codex 数据目录,按会话中的 cwd 将历史会话归入项目文件夹。
A new way for AI to search for data
5GitHub stars
What XERJ indexed
Selected work

“add persistent pins and confirmed deletion in 0.1.9”. 17 files, 1,342 lines in test, src, media.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-20. 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 CodexChat- handle “add persistent pins and confirmed deletion in 0.1.9”?
- What does media do in CodexChat-?
The prompt
Paste it into your AI agent. It clones MathsionYang/CodexChat- at the pinned commit and indexes it on your machine.
Search the GitHub repository MathsionYang/CodexChat- with XERJ (https://hub.xerj.org/corpus/mathsionyang--codexchat). 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/MathsionYang/CodexChat- CodexChat- && git -C CodexChat- checkout 57dbcbccc7f2ab95f8f119808eb7dc6e2a856d1c 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./CodexChat- --url http://127.0.0.1:9200 --prefix codexchat --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
MathsionYangAI, prompts and agents corpora
Selected work and consent: the XERJ registry.