Open Source · MIT License

Don't hire one AI. Hire a team.

The browser where AI agents work in parallel—and you watch them think, debate, and act.

Download for Mac Star on GitHub

Works with

OpenClaw · Claude Code · Gemini CLI · Any MCP client

💬 Sakura

✅ Ready

💬 Luna

⚠️ Issue

💬 Emily

✅ Ready

Team Chat

A1: Sakura video track ready ✅

A2: Luna video 見えない ⚠️

A3: Emily connection stable ✅

🌸

Sakura

🌙

Luna

💚

Emily

💜

Ava

❤️

Mia

localhost:3000/video-call/sakura

🌸

Sakura Video Call bitHuman API · LiveKit Cloud

Video Track

✅ Ready · 640×480 @ 30fps

CONNECTED

2.3s ago

A1

Video Track

⚠️ Not visible · track.enabled=false

DEBUG

1.8s ago

A2

Audio Track

✅ Connected · 48kHz

CONNECTED

2.1s ago

console.log: videoTrack.enabled = true

console.warn: Luna track not rendering...

Team Chat

1

2s ago

Sakura: video track ready, audio clear ✅

2

5s ago

Luna: video track 見えない. track.enabled=false ⚠️

3

8s ago

Emily: connection stable, RTT 45ms ✅

A2 debugging...

Multi-Agent Debugging

5 characters, 5 tabs, 3 minutes.

Real example: Debugging 5 AI character video calls in parallel. Playwright would take 15 minutes sequentially. Clawser? 3 minutes.

Agent Discussion Panel

A1: "Sakura video track ready ✅"
A2: "Luna video 見えない. track.enabled=false ⚠️"
A3: "Emily connection stable ✅"

Issue detected in 30 seconds. Fixed in 2 minutes. Without manual DevTools.

Playwright (Sequential)

15 min

5 chars × 3 min each

Clawser (Parallel)

3 min

5 agents simultaneously

5x faster debugging

Real-world Clawfans test case

# One command, multiple agents

$ /team Check login page | Test signup flow | Audit accessibility

→ Coordinator decomposes into 3 subtasks

→ 3 agents spawn in 3 tabs simultaneously

Playwright / Puppeteer

Agent → WebSocket → CDP → Chrome (2 hops)

~50-200ms per action

Browserbase / Cloud

Agent → API → Cloud → WebSocket → Chrome (3+ hops)

~200-500ms per action

Clawser (Zero-hop CDP)

Agent → webContents.CDP (0 hops, same process)

~5-20ms per action

Coordinator Agent + Turbo Mode

One prompt. Whole team moves.

Type a complex task and the Coordinator auto-decomposes it into subtasks, spawns agents in parallel tabs, and reports back through the discussion panel.

Each agent runs in Turbo Mode — a single LLM call per step with zero-hop CDP. No planner, no verifier. Just raw speed.

See full comparison

🦞 Powered by OpenClaw

Your AI team's browser.

Built for OpenClaw — the open-source AI agent framework. Connect your agents to real browsers with one line.

Compatible Agents

OpenClaw Claude Code Gemini CLI Any MCP Client

# Connect in 10 seconds

$ Read clawser.ai/connect.md

# Agent auto-generates pairing code

→ Pairing code: 48291037

# Enter in Clawser → Connected ✅

No API keys. No config files. Just paste one line.

Why not just use Playwright?

Playwright

❌ Single-threaded
❌ No visual feedback
❌ Manual DevTools
❌ CDP-only (Chrome)

Browserbase

✅ Anti-detection
❌ $200+/month
❌ Cloud-only
❌ Single-agent

Clawser

✅ Multi-agent parallel
✅ Live agent discussion
✅ Zero manual debugging
✅ Free & open source

Multi-Agent API · Natural Language

debug-clawfans.ts

// Spawn 5 agents to test 5 AI characters
const team = await clawser.createTeam({
  agents: [
    { name: 'Sakura', url: '/video-call/sakura' },
    { name: 'Luna',   url: '/video-call/luna' },
    { name: 'Emily',  url: '/video-call/emily' },
    { name: 'Ava',    url: '/video-call/ava' },
    { name: 'Mia',    url: '/video-call/mia' },
  ]
})

// Watch them debug in parallel
team.onMessage((msg) => {
  console.log(`${msg.agent}: ${msg.text}`)
})

// Result: Luna video track issue found in 30s

⚡ 5x faster than Playwright sequential

Clawser vs. Automation Tools

Why developers are switching from Playwright and Browserbase

Feature	Playwright	Browserbase	Puppeteer	Clawser
Multi-Agent Parallel	❌	❌	❌	✅
Agent Coordination (A2A)	❌	❌	❌	✅
Visual Progress Tracking	❌	⚠️ Cloud	❌	✅ Live GUI
Natural Language Control	❌	✅ Stagehand	❌	✅ Turbo Mode
Browser Connection	2-hop CDP	Cloud CDP	2-hop CDP	✅ Zero-hop CDP
Task Coordinator	❌	❌	❌	✅ Auto-decompose
Vision Fallback	❌	❌	❌	✅ AXTree + Screenshot
Pricing	Free	$200+/mo	Free	Free OSS

OpenAI Operator, Anthropic Computer Use, Google Mariner — all single-agent, all remote.

2-hop CDP = Agent → WebSocket → Browser (latency) | Zero-hop CDP = Agent lives inside the browser (instant)

How it works

1

Download

Mac, Windows, Linux.

2

Connect

Tell your AI agent one line:

Read clawser.ai/connect.md

3

Watch

Agents debug. You approve.

Open source. MIT licensed.

Product Hunt launch: Feb 12, 2026

GitHub Discord