agent-voice 0.8.0

Agent Voice gives AI agents the ability to create local speech recordings.

AI agents produce useful work, but they still communicate mostly through text. Every response competes for a developer's visual attention, so valuable work is often skimmed or missed.

My initial use case was listening alongside the text: text-to-speech for coding agents such as Codex and Claude Code.

The larger idea is simple: audio should be a first-class medium for agents.

Agent Voice runs locally, uses Kokoro-82M, and requires no API key. English is the best-supported language. The bundled 54-voice catalog also covers Japanese, Mandarin Chinese, Spanish, French, Hindi, Italian, and Brazilian Portuguese, though quality varies.

Check them out here.

Install and setup

Install the CLI with uv:

uv tool install agent-voice

Or with pipx:

pipx install agent-voice

Then download the speech model:

agent-voice setup

For setup with experimental playback controls, see Experimental desktop playback controls.

Test the CLI directly:

agent-voice speak "Hello from Agent Voice." -p

Choose a skill

[!Note] The skills are starting points. Copy them to customize delivery wording, recording defaults, playback behavior, or when an agent should offer audio to your liking!

Agent Voice provides two kinds of skill:

• create-speech-recording turns supplied text into audio. Use it to create a recording or read something aloud.
• spoken-response creates the spoken semantic twin of an assistant response. It can speak the current response, the previous response, or later responses in the thread.

Choose how the recording should appear in your agent:

For portable delivery, install the normal skills:

npx skills add yoav0gal/agent-voice -g --skill create-speech-recording
npx skills add yoav0gal/agent-voice -g --skill spoken-response

For an embedded player in a supported desktop app, install the desktop skills:

npx skills add yoav0gal/agent-voice -g --skill create-speech-recording-desktop
npx skills add yoav0gal/agent-voice -g --skill spoken-response-desktop

Experimental desktop playback controls

[!WARNING] Experimental feature.

agent-voice controls install
npx skills add yoav0gal/agent-voice -g --skill create-speech-recording-controls
npx skills add yoav0gal/agent-voice -g --skill spoken-response-controls

Remove the handler with agent-voice controls uninstall.

CLI

The CLI provides small primitives that agents can combine. Run agent-voice COMMAND --help for the full options of any command.

Speak

# Positional text
agent-voice speak "The build is finished."

# Agent output through stdin
printf '%s' "$TEXT" | agent-voice speak --label build-summary

# Spoken response text and written response Markdown in one command
agent-voice speak "$RESPONSE_AS_TEXT" \
  --markdown "$RESPONSE_AS_MARKDOWN" --label response

# Use separate files for a long spoken response and its written Markdown
agent-voice speak --response-file "$RESPONSE_AS_MARKDOWN_FILE" \
  < "$RESPONSE_AS_TEXT_FILE"

# Choose the output and delivery
agent-voice speak "Here is your summary." \
  --voice bf_emma --speed 1.2 --format mp3 -p

speak prints one JSON receipt with the absolute recording path, file URI, audio metadata, playback state (started or scheduled), and available viewer links. This makes the command reliable for both people and agents.

Configure defaults

# Show current defaults
agent-voice config

# Set your preferred voice, speed, format, service timeout, and output directory
agent-voice config --voice bf_emma --speed 1.15 --format mp3 \
  --service-timeout 10 --output-dir ./recordings

# Restore built-in defaults
agent-voice config --reset

Voice, speed, format, and output directory can be overridden per recording with speak.

Manage the Agent Voice service

By default, speak starts the Agent Voice background service when needed. Once the model weights are loaded, the service keeps them warm between requests to avoid another cold startup. It stops after 10 idle minutes by default, and each completed speech request restarts that timer. Automatic startup reuses a running service without changing its timeout; service start uses the saved timeout or an explicit --idle-timeout value.

agent-voice service start                    # stops after 10 idle minutes
agent-voice service start --idle-timeout 30  # set this process to 30 minutes
agent-voice service stop

Use agent-voice serve for a foreground service while debugging.

Discover and diagnose

agent-voice voices
agent-voice models
agent-voice doctor
agent-voice doctor --json

voices groups each installed voice under its supported --lang tag. Select a pair with agent-voice speak --lang TAG --voice VOICE "Text".

Use --json with voices, models, config, or doctor when another tool or agent will consume the result.

Play and view recordings

agent-voice play "/absolute/path/recording.mp3"
agent-voice play "/absolute/path/recording.mp3" --after 10
agent-voice viewer start
agent-voice viewer stop

The lightweight viewer starts automatically when needed and serves only local recordings. It prefers http://127.0.0.1:8779 and selects a free port if that port is unavailable. Each managed recording keeps an editable .txt source beside it. At startup and every six hours, the viewer removes owned audio older than four days and 18 hours; files without Agent Voice source, transcript, and language metadata are left alone. Opening a player or audio URL regenerates missing audio from its source with the original language and current voice and speed.

Playback commands return as soon as local playback starts, or immediately with scheduled when a delay is requested; they never wait for the recording to end.

[!Note] 🗒️ The viewer is a workaround for agent surfaces that do not support embedded audio. I expect native text-to-speech to become common across these platforms, which would be a better solution. For now, the viewer keeps playback and the written response together in a local page. 🗒️

Local speech API

agent-voice serve

curl http://127.0.0.1:8765/v1/audio/speech \
  -H 'Content-Type: application/json' \
  -d '{"input":"The task is complete.","voice":"af_heart","response_format":"mp3"}' \
  --output speech.mp3

The API binds to localhost. speak uses it when available and falls back to embedded inference.

Platform limitations

Prebuilt dependencies support macOS arm64/x64, Linux x64, and Windows x64. Linux arm64 requires a C build toolchain for miniaudio. On Windows arm64, use x64 Python under emulation.