Skip to main content

Multi-session voice web interface for AI coding agents

Project description

AgentWire

Talk to your AI coding agents. From anywhere.

PyPI Python License Discord


The Problem

You're on the couch. Your AI agent is on your workstation. You have an idea.

Old way: Get up. Walk to computer. Type.

AgentWire way: Pull out phone. Hold button. Talk. Done.


What It Does

Push-to-talk voice control for Claude Code or any AI coding assistant running in tmux.

Demo

Phone → AgentWire Portal → tmux session → Claude Code
 🎤        (WebSocket)         📺           🤖

From your phone, tablet, or laptop on your network:

  • Hold to speak, release to send
  • Watch agents work in real-time
  • Hear responses via TTS
  • Manage multiple projects simultaneously

Quick Start

# Install
pip install agentwire-dev

# Setup (interactive)
agentwire init
agentwire generate-certs

# Run
agentwire portal start
# Open https://localhost:8765

Requirements: Python 3.10+, tmux, ffmpeg, Claude Code

Platform-specific instructions

macOS:

brew install tmux ffmpeg
pip install agentwire-dev

Ubuntu/Debian:

sudo apt install tmux ffmpeg python3-pip python3-venv
python3 -m venv ~/.agentwire-venv && source ~/.agentwire-venv/bin/activate
pip install agentwire-dev

WSL2: Same as Ubuntu. Audio is limited; use as remote worker with portal on Windows host.


Features

Feature Description
Voice Control Push-to-talk from any device on your network
Multi-Session Run multiple agents on different projects simultaneously
Git Worktrees Same project, multiple branches, parallel agents
Remote Machines SSH into GPU servers and talk to agents there
Worker Orchestration Spawn worker panes, coordinate tasks, voice commands
Safety Hooks 300+ dangerous commands blocked (rm -rf, force push, etc.)
TTS Responses Agents talk back via browser audio
Session Roles Leader/worker patterns for multi-agent workflows

How It Works

1. Create a session:

agentwire new -s myproject -p ~/projects/myproject

2. Open the portal: Visit https://localhost:8765 on your phone/tablet/laptop

3. Talk: Hold the mic button, speak your request, release. The transcription goes to Claude Code.

4. Listen: Agent responses are spoken back via TTS (optional, requires GPU for self-hosted or RunPod).


Multi-Agent Orchestration

AgentWire supports orchestrator/worker patterns for complex tasks:

# .agentwire.yml in your project
type: claude-bypass
roles:
  - agentwire
  - voice

Sessions can spawn workers:

agentwire spawn --roles worker  # Creates a worker pane
agentwire send --pane 1 "Implement the auth module"

Workers execute tasks autonomously while the orchestrator coordinates.


Safety

AgentWire blocks dangerous operations before they execute:

  • rm -rf /, git push --force, git reset --hard
  • Cloud CLI destructive ops (AWS, GCP, Firebase, Vercel)
  • Database drops, Redis flushes, container nukes
  • Sensitive file access (.env, SSH keys, credentials)
agentwire safety check "rm -rf /"
# → ✗ BLOCKED: rm with recursive or force flags

agentwire safety status
# → 312 patterns loaded, 47 blocks today

All decisions logged for audit trails.


Voice Configuration

TTS (Text-to-Speech): Requires GPU. Options:

# ~/.agentwire/config.yaml
tts:
  backend: "runpod"  # Recommended: RunPod serverless
  runpod_endpoint_id: "your-endpoint"
  runpod_api_key: "your-key"

Or self-host with agentwire tts start on a GPU machine.

STT (Speech-to-Text): Runs locally on macOS via WhisperKit. Linux uses faster-whisper server.

Disable voice (text-only mode)
tts:
  backend: "none"

You can still use the portal for session management without voice.


CLI Reference

Session Management
agentwire list                    # List sessions
agentwire new -s <name> -p <path> # Create session
agentwire kill -s <name>          # Kill session
agentwire send -s <name> "prompt" # Send to session
agentwire output -s <name>        # Read output
Worker Panes
agentwire spawn --roles worker    # Spawn worker in current session
agentwire send --pane 1 "task"    # Send to worker
agentwire output --pane 1         # Read worker output
agentwire kill --pane 1           # Kill worker
Voice Commands
agentwire say "Hello"             # TTS (auto-routes to browser)
agentwire alert "Done"            # Text notification (no audio)
agentwire listen start/stop       # Voice recording
agentwire voiceclone list         # Custom voices
Remote Machines
agentwire machine add gpu --host 10.0.0.5 --user dev
agentwire new -s ml@gpu           # Create session on remote
agentwire tunnels up              # SSH tunnels for services
Safety & Diagnostics
agentwire doctor                  # Auto-diagnose issues
agentwire safety status           # Check protection status
agentwire hooks install           # Install Claude Code hooks
agentwire network status          # Service health check

Documentation


Community


License

Dual-licensed:


AgentWire: For people who have better things to do.

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

agentwire_dev-1.7.1.tar.gz (31.4 MB view details)

Uploaded Source

Built Distribution

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

agentwire_dev-1.7.1-py3-none-any.whl (30.6 MB view details)

Uploaded Python 3

File details

Details for the file agentwire_dev-1.7.1.tar.gz.

File metadata

  • Download URL: agentwire_dev-1.7.1.tar.gz
  • Upload date:
  • Size: 31.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.20

File hashes

Hashes for agentwire_dev-1.7.1.tar.gz
Algorithm Hash digest
SHA256 f16c080674d0f29e2c1b2a74ccb4f295ebad9f7b176f583a6cd1f762ee5baa57
MD5 0704165f734a6dde80d26fdbf3ec244d
BLAKE2b-256 ad42166abb8e5b37a496117a444b8408b837c638f0729c7f75e14e7bdfb4289f

See more details on using hashes here.

File details

Details for the file agentwire_dev-1.7.1-py3-none-any.whl.

File metadata

File hashes

Hashes for agentwire_dev-1.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d354abcd7005e799a078b9277282e7b8a54e0f39bdf08300e321b22d594ef271
MD5 06bc554f5f7eb28999e489a658f42181
BLAKE2b-256 9f4805b7d7751393cd0467c7f36f2922c2508e83019abd5b9a41c91be55be58a

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