Skip to main content

Push-to-talk voice conversations powered by Whisper and Claude Code

Project description

MicroClaw Streams

Voice calls with Claude – talk it out. Voice in, voice out. Push-to-talk voice conversations powered by Whisper and Claude Code.

Whisper runs entirely on your machine — no audio is sent to the cloud. Only the transcribed text is sent to Claude.

~490 lines of Python across 5 modules, with just three dependencies: numpy, sounddevice, and openai-whisper.

Setup

pip install -e .

Requires Claude Code to be installed and authenticated.

Usage

microclaw-streams
microclaw-streams --model turbo
microclaw-streams --resume <session-id>
microclaw-streams -l sv -e high

Options

Flag Description Default
-m, --model Whisper model size (tiny, base, small, medium, large, turbo) base
-l, --language Transcription language (e.g. en, sv, de) auto
-e, --effort Claude effort level (low, medium, high, max) low
-r, --resume Resume a previous Claude Code session by its session ID
--fp16 Use half-precision inference (requires CUDA GPU) off

Controls

Key Action
Enter Start/stop recording
A Record with auto-approve (allows edits, writes, bash)
W Record with web search enabled
T Type a message instead of speaking
E Cycle effort level
L Cycle transcription language
Space Interrupt speech output

How it works

  1. Record — Press Enter to start recording, press Enter again to stop
  2. Transcribe — Whisper transcribes your speech locally
  3. Respond — Claude Code processes your message and streams a response
  4. Speak — Voice output is spoken via macOS say command

Requirements

  • macOS (uses say for text-to-speech)
  • Python 3.10+
  • Claude Code CLI

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

microclaw_streams-0.1.0.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

microclaw_streams-0.1.0-py3-none-any.whl (10.1 kB view details)

Uploaded Python 3

File details

Details for the file microclaw_streams-0.1.0.tar.gz.

File metadata

  • Download URL: microclaw_streams-0.1.0.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for microclaw_streams-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e6c3ce4152deae4f0609b23f704e2d1e3f0ac026a4e5bece87ed1c0f2355b903
MD5 9ea76eadbef86adccf1de66b0bcbad99
BLAKE2b-256 d799bfa1d8941ab34cc9edd3db27cc21144373608d5f64fdf851b271bb0f7aea

See more details on using hashes here.

File details

Details for the file microclaw_streams-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for microclaw_streams-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dfaf6ac65e5e6b774122546367ecf11b797e0dfa04a51694935b7484a1310680
MD5 a5db1ac84ba3858a431a4083fbbcd8b8
BLAKE2b-256 ab77542580d5334e4b9cc0c5268d9e170b9c8c675113b511f380085cbbd91047

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page