Open Source Β· MIT License

Don't hire one AI. Hire a team.

The browser where AI agents work in parallelβ€”and you watch them think, debate, and act.

Works with
OpenClaw Β· Claude Code Β· Gemini CLI Β· Any MCP client
πŸ’° Pricing
⭐ Reviews
πŸ“Š Features
A1 scraping pricing intercom.com
Intercom vs Zendesk
Starter $74/mo
Pro $153/mo
πŸ’° Intercom 35% pricier than Zendesk
⭐ Intercom 4.5β˜… vs Zendesk 4.3β˜…
πŸ“Š Intercom: bots win, Zendesk: tickets
Team Chat

A1: Intercom 35% pricier πŸ’°

A2: Both 4.3-4.5β˜… on G2 ⭐

A3: Intercom: bots, Zendesk: tickets πŸ“Š

Building comparison report...
Multi-Agent Debugging

One prompt. Three agents. Done.

"Compare Intercom vs Zendesk" β€” one sentence, and three agents open three tabs. Pricing, reviews, features. All at once.

What they found in 90 seconds
A1: "Intercom 35% pricier. Zendesk cheaper at scale πŸ’°"
A2: "G2: Intercom 4.5β˜… (3K reviews) vs Zendesk 4.3β˜… (6K reviews) ⭐"
A3: "Intercom wins custom bots, Zendesk wins ticketing πŸ“Š"

Competitor research that takes 30 minutes β€” done in 90 seconds. That's your AI team.

You (Manual)
30 min
Tab switching, copy-pasting
Clawser (AI Team)
90s
3 agents simultaneously
20x faster research
Pricing, reviews, features β€” all at once
# One command, multiple agents
$ /team Check login page | Test signup flow | Audit accessibility
β†’ Coordinator decomposes into 3 subtasks
β†’ 3 agents spawn in 3 tabs simultaneously
Playwright / Puppeteer
Agent β†’ WebSocket β†’ CDP β†’ Chrome (2 hops)
~50-200ms per action
Browserbase / Cloud
Agent β†’ API β†’ Cloud β†’ WebSocket β†’ Chrome (3+ hops)
~200-500ms per action
Clawser (Zero-hop CDP)
Agent β†’ 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 β€” 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 β€” 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
β†’ Pairing code: 48291037
# Enter in Clawser β†’ Connected βœ…
No API keys. No config files. Just paste one line.

Why not just use Playwright?

Clawser
  • βœ… Multi-agent parallel
  • βœ… Live agent discussion
  • βœ… Zero manual debugging
  • βœ… Free & open source

Multi-Agent API Β· Natural Language

e2e-test.ts
// Test 4 flows in parallel with one command
const team = await clawser.createTeam({
  agents: [
    { name: 'Login',     url: '/login' },
    { name: 'Signup',    url: '/signup' },
    { name: 'Checkout',  url: '/checkout' },
    { name: 'Dashboard', url: '/dashboard' },
  ]
})

// Agents discuss findings in real-time
team.onMessage((msg) => {
  console.log(`${msg.agent}: ${msg.text}`)
})

// Result: signup validation bug found in 30s
⚑ 4x faster than sequential E2E testing

Clawser vs. Automation Tools

Why developers are switching from Playwright and Browserbase

🦞 Clawser Free OSS
βœ… Multi-Agent
βœ… A2A Coord
βœ… Live GUI
βœ… Turbo Mode
βœ… Zero-hop CDP
βœ… Coordinator
βœ… Vision AI
βœ… Open Source
Playwright
❌ Single-agent
❌ No GUI
❌ 2-hop CDP
Free
Browserbase
❌ Single-agent
❌ Cloud only
❌ Cloud CDP
$200+/mo
Puppeteer
❌ Single-agent
❌ No GUI
❌ 2-hop CDP
Free

OpenAI Operator, Anthropic Computer Use, Google Mariner β€” all single-agent, all remote.

2-hop CDP = Agent β†’ WebSocket β†’ 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