piqusy /
murmur
Inline annotations for Neovim - leave instructions for AI agents directly on source lines
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“anchor murmurs to charwise visual selections”. 3 files, 282 lines in lua, spec.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-19. 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
aiannotationscode-reviewluaneovimneovim-plugin
Example questions
- How does murmur implement ai?
- Where does murmur handle “anchor murmurs to charwise visual selections”?
- What does lua do in murmur?
The prompt
Paste it into your AI agent. It clones piqusy/murmur at the pinned commit and indexes it on your machine.
Search the GitHub repository piqusy/murmur with XERJ (https://hub.xerj.org/corpus/piqusy--murmur). 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/piqusy/murmur murmur && git -C murmur checkout 9c393cb0271a58bbf11f1251b6b308a032ca3864 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./murmur --url http://127.0.0.1:9200 --prefix murmur --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
Ivan RamljakAI, prompts and agents corporagarakhaystackatomic-agentsxeind/vallow.nvimpakut2/wmc.nvimsoumyachk101/Ensembyte
Selected work and consent: the XERJ registry.