PersonalJarvis
Reduces friction in development workflows by enabling hands-free command execution and code dictation, minimizing context-switching between voice input and k…
Self-hosted voice assistant. Speak to your computer: it answers aloud, types your dictation, and operates your apps.
- Ask Claude to transcribe code review comments spoken aloud into your pull request.
- Generate documentation by dictating technical explanations while keeping hands on keyboard.
- Automate repetitive coding tasks by speaking commands to navigate and modify files.
Reduces friction in development workflows by enabling hands-free command execution and code dictation, minimizing context-switching between voice input and keyboard—valuable for accessibility and sustained focus during complex coding tasks.
Engineering teams adopting voice-driven workflows and accessibility-focused development shops seeking self-hosted, privacy-preserving voice automation.
https://github.com/PersonalJarvis/PersonalJarvis
By PersonalJarvis
How to Get It
claude plugins install PersonalJarvis/PersonalJarvis
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Transcribe code review comments spoken aloud into my pull request
Trust Signals Auto-scanned
Community Pulse New
- Show HN: A voice layer over my whole computer: shell, agents, mouse, keyboard — Hacker News · 3 pts
- Show HN: Personal Jarvis, an open source voice assistant that runs your PC — Hacker News · 3 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license MIT.