MeetingMind
MeetingMind is an open-source meeting and workday assistant. It transcribes meetings in real time, generates structured minutes, and surfaces what needs your attention across email and Microsoft Teams. It is designed to run locally, keep your credentials on your machine, and stay out of your way. Bring your own API keys
What XERJ indexed
Selected work

Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. 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
The prompt
Paste it into your AI agent. It clones Tuhin-SnapD/MeetingMind at the pinned commit and indexes it on your machine.
Search the GitHub repository Tuhin-SnapD/MeetingMind with XERJ (https://hub.xerj.org/corpus/tuhin-snapd--meetingmind). 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/Tuhin-SnapD/MeetingMind MeetingMind && git -C MeetingMind checkout 4c87564b7abbb952f2db0126711e5c51763a52f5 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./MeetingMind --url http://127.0.0.1:9200 --prefix meetingmind --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
Tuhin ChakrabartyAPI design and specification corpora
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.