Install ClawMux — WSL Split¶

Hub runs in WSL (Windows Subsystem for Linux). TTS and STT run on a remote GPU server.

Requirements: Windows 10/11, WSL2 with Ubuntu, Python 3.10+, Claude Code, remote Linux server with NVIDIA GPU accessible via network

1. WSL Check¶

# Verify WSL2
cat /proc/version  # Should show "microsoft" or "WSL"

# Python
python3 --version  # Must be 3.10+

# System dependencies
sudo apt install -y python3-venv tmux

# Claude Code
claude --version  # Must be installed and authenticated

No local GPU is required — TTS/STT run on the remote server.

2. Clone Repository¶

if [ ! -d "$HOME/GIT/clawmux" ]; then
    mkdir -p "$HOME/GIT"
    git clone https://github.com/zeulewan/clawmux.git "$HOME/GIT/clawmux"
fi
cd "$HOME/GIT/clawmux"

3. Python Environment¶

cd "$HOME/GIT/clawmux"
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

4. GPU Server Setup¶

SSH into your GPU server, clone the repo, and set up TTS/STT:

# On the GPU server:
git clone https://github.com/zeulewan/clawmux.git ~/clawmux
cd ~/clawmux

# Install Whisper and Kokoro services
bash services/whisper/install.sh
bash services/whisper/start.sh

bash services/kokoro/install.sh
bash services/kokoro/start.sh

Environment variables (optional — shown with defaults):

Variable	Default	Description
`CLAWMUX_HOME`	`~/.clawmux`	Base directory
`CLAWMUX_WHISPER_PORT`	`2022`	Whisper STT port
`CLAWMUX_KOKORO_PORT`	`8880`	Kokoro TTS port
`CLAWMUX_WHISPER_MODEL`	`large-v3`	Whisper model size

Make the services accessible from WSL. Options:

Tailscale (recommended): Both WSL and GPU server on the same tailnet.

# In WSL — install Tailscale
curl -fsSL https://tailscale.com/install.sh | sh
sudo tailscale up

# On GPU server — expose via Tailscale serve
sudo tailscale serve --bg --https=8881 http://127.0.0.1:8880
sudo tailscale serve --bg --https=2023 http://127.0.0.1:2022

SSH tunnel: Forward ports from WSL to GPU server.

# In WSL — tunnel TTS and STT
ssh -NL 8880:127.0.0.1:8880 -L 2022:127.0.0.1:2022 user@gpu-server &

5. Configure Remote TTS/STT¶

After the hub starts, configure remote TTS/STT URLs:

# Replace GPU_SERVER with the Tailscale IP or hostname of your GPU server
GPU_SERVER="100.x.x.x"  # Or hostname.ts.net

curl -X PUT http://localhost:3460/api/settings \
  -H "Content-Type: application/json" \
  -d "{\"tts_url\": \"http://${GPU_SERVER}:8880\", \"stt_url\": \"http://${GPU_SERVER}:2022\"}"

If using SSH tunnels, the URLs are http://127.0.0.1:8880 and http://127.0.0.1:2022.

6. Register MCP Server¶

INSTALL_DIR="$HOME/GIT/clawmux"
claude mcp add -s user clawmux -- "$INSTALL_DIR/.venv/bin/python" "$INSTALL_DIR/server/mcp_server.py"

7. Install Slash Commands¶

mkdir -p ~/.claude/commands
cp "$HOME/GIT/clawmux/.claude/commands/clawmux.md" ~/.claude/commands/clawmux.md

8. Install CLI¶

# Review the script first
cat "$HOME/GIT/clawmux/clawmux" | head -20

# Option A: User-local install (no sudo needed)
mkdir -p ~/.local/bin
cp "$HOME/GIT/clawmux/clawmux" ~/.local/bin/clawmux
chmod +x ~/.local/bin/clawmux
# Ensure ~/.local/bin is in your PATH

# Option B: System-wide install
sudo cp "$HOME/GIT/clawmux/clawmux" /usr/local/bin/clawmux
sudo chmod +x /usr/local/bin/clawmux

9. Start the Hub¶

cd "$HOME/GIT/clawmux"
./start-hub.sh

Or in tmux:

tmux new-session -d -s clawmux "cd $HOME/GIT/clawmux && ./start-hub.sh"

10. Access from Windows¶

Open a browser on Windows and go to http://localhost:3460.

WSL2 automatically forwards localhost ports to Windows. If this doesn't work:

WSL_IP=$(hostname -I | awk '{print $1}')
echo "Try http://$WSL_IP:3460 from Windows"

11. Verify¶

# Hub running
curl -s http://localhost:3460/api/sessions | python3 -c "import sys,json; print(len(json.load(sys.stdin)), 'sessions')"

# TTS working (via configured URL)
curl -s http://${GPU_SERVER}:8880/v1/models | head -c 100

# STT working (via configured URL)
curl -s http://${GPU_SERVER}:2022/v1/models | head -c 100

# Browser UI
echo "Open http://localhost:3460 in your Windows browser"

Troubleshooting¶

Problem	Fix
TTS/STT connection refused	Check GPU server services: `curl -s http://127.0.0.1:2022/v1/models` / `curl -s http://127.0.0.1:8880/v1/models`
Tailscale in WSL issues	Ensure WSL2 (not WSL1): `wsl --set-version Ubuntu 2`
Port not accessible from Windows	Try WSL IP directly instead of localhost
SSH tunnel dies	Use `autossh`: `sudo apt install autossh`
WSL restarts lose services	Add startup commands to `~/.bashrc`
MCP tools not found	Wait 10s after starting Claude Code, then retry