Olaf The Vibecoder
Talk to your codebase like a colleague. You speak an idea; Olaf holds a natural voice conversation while coding agents (Claude Code and friends) quietly build it on separate git branches. Ask to see the diff, say "merge it", and it lands on main — the whole loop, hands-free.
you: "lag en fil med et dikt i repoet"
olaf: "Klart, jeg setter i gang!" → agent builds on branch 'dikt'
you: "vis diff" → colorized diff in the TUI
you: "merge det inn i main"
olaf: "Ferdig! Dikt er merget inn i main."
Quick Start
# Install and run
uv tool install voice-vibecoder
vibecoder
On first launch, a setup wizard will guide you through connecting your OpenAI or Azure OpenAI account. Press s anytime to change settings.
Features
- Natural conversation — full-duplex voice: interrupt Olaf mid-sentence and it stops and listens (system echo cancellation on macOS, adaptive echo gate elsewhere). Short spoken answers, follows your language, resumes previous conversations where they left off
- Invisible agent orchestration — multi-instance Claude Code agents in separate git worktrees; Olaf narrates progress and delivers results
- Voice-driven git — show diffs, merge branches into main, clean up worktrees, all by voice; conflicts are reported, never half-merged
- Live file tree per agent (including files the agent just created) and GitHub-style diff view
- Session persistence across restarts
- Push-to-talk and voice activity detection modes
- OpenAI and Azure OpenAI realtime (GA voices marin/cedar), Gemini Live,
and GPT-Live on Azure Foundry (
provider: "gpt-live"): full-duplex voice with the tools running through Responses delegation. It reuses the Azure endpoint and key;VOICE_LIVE_DEPLOYMENT,VOICE_LIVE_DELEGATION_MODELandVOICE_LIVE_VOICEoverride the defaults (gpt-live-1,gpt-5.4,cedar) - Multi-language (English, Norwegian, Swedish) — spoken and transcribed
Requirements
- Python 3.10+
- An OpenAI API key with Realtime API access
- PortAudio for microphone input (
brew install portaudioon macOS) - Claude Code CLI installed
Usage as a Library
Embed the voice coding screen in your own Textual app:
from pathlib import Path
from voice_vibecoder import VoiceCodingApp, VoiceCodingScreen, VoiceConfig
# Standalone app with custom config
config = VoiceConfig(
app_name="My Coding Assistant",
config_dir=Path.home() / ".my-app",
data_dir=Path.home() / ".my-app",
log_dir=Path.home() / ".my-app" / "logs",
on_startup=lambda send: send("Hello from startup!"),
)
VoiceCodingApp(config=config).run()
# Or embed the screen in your own Textual app
screen = VoiceCodingScreen(repo_root, config=config)
Configuration
Settings are stored using platform-standard directories:
| Platform | Config | Data | Logs |
|---|---|---|---|
| macOS | ~/Library/Application Support/voice-vibecoder/ |
~/Library/Application Support/voice-vibecoder/ |
~/Library/Logs/voice-vibecoder/ |
| Linux | ~/.config/voice-vibecoder/ |
~/.local/share/voice-vibecoder/ |
~/.local/state/voice-vibecoder/log/ |
Git worktrees are created as siblings of your project directory (e.g., ../my-project-feat-login).
Keyboard Shortcuts
| Key | Action |
|---|---|
q / Esc |
Quit |
m |
Toggle mute |
s |
Settings |
c |
Cancel current Claude task |
Space |
Push-to-talk (when in PTT mode) |
License
MIT
1 maintainer
Release files for voice-vibecoder 2.32.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| voice_vibecoder-2.32.0.tar.gz | 132.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| voice_vibecoder-2.32.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 261.4 kB
Release files / voice_vibecoder-2.32.0.tar.gz
| Download URL | voice_vibecoder-2.32.0.tar.gz |
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| Size | 132.9 kB |
| Tags | Source |
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| Tags | Python 3 |
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