Álli Terhorst

What an agent can do with the voice-mate corpus

nano-br/voice-mate: Voice assistant for Windows: press a hotkey, speak, and the transcription lands in your clipboard. Local Whisper with GPU acceleration.…

• Look up how voice-mate implements clipboard, cuda, faster-whisper, with answers cited to file and line.
• Reuse a worked example: the commit “switchable CPU and GPU speech-to-text modes with in-app in…” (45 files · Python).
• Answer from voice-mate's real Python source instead of memory (API design and specification).

• How does voice-mate implement clipboard?
• What does tests do in voice-mate?

Search the GitHub repository nano-br/voice-mate with XERJ (https://hub.xerj.org/corpus/nano-br--voice-mate).
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/nano-br/voice-mate voice-mate && git -C voice-mate checkout fe4f86097d9c2f59813b00bfc6a9a711b0c9ff14
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./voice-mate --url http://127.0.0.1:9200 --prefix voice-mate --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.

corpus nano-br--voice-mate · API design and specification
Related corpora: dunorth595--ai-agent-chat, agentscope, prompt-agency/react-native-voice-activator, gabry-ts/kaiku
Search an OpenAPI spec from an agent · Case study: reference coding for agents