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.

Works with
OpenClaw · Claude Code · Gemini CLI · Any MCP client
✈ Flights
$387
🏨 Hotels
$180/n
⭐ Reviews
4.2★
Team Chat

A1: Delta $387 nonstop, best value.

A2: Marriott $180/night, free breakfast.

A3: ⚠ Avoid Terminal B.

Multi-Agent Parallelism

Three agents, three tabs, one goal.

Why wait for one AI to finish when three can work simultaneously? They divide the work, share findings in real-time, and finish 10x faster.

Book a trip? Agent 1 finds flights, Agent 2 searches hotels, Agent 3 checks reviews—all at the same time.

Agent 1
✈ Finding flights...
Agent 2
🏨 Searching hotels...
Agent 3
⭐ Checking reviews...
10x faster than sequential
Parallel execution at work
Live Discussion
A1
"Found Delta $387, best value for nonstop."
2s ago
A2
"Marriott LAX has better reviews than Hilton."
5s ago
A3
"⚠ Terminal B construction, delays likely."
8s ago
Full Observability

Watch them think out loud.

See cursors move across pages. Watch agents debate strategy in real-time. No more black-box AI—every action is visible.

They don't just work—they explain their reasoning. You stay in control.

Agent Store

Install specialized agents.

Browse and install agents built for specific tasks. Travel planning, research, data extraction—one click away.

Community-built. Open source. Endlessly extensible.

Agent Store
✈ Travel Planner INSTALLED
Multi-agent travel booking
🔬 Research Assistant
Academic paper analysis
📊 Data Extractor
Scrape & structure data
🛒 Price Monitor
Track product prices

Why not just use Playwright?

Clawser
  • ✅ Watch agents live
  • ✅ Unlimited parallel agents
  • ✅ Agent Store ecosystem
  • ✅ Free & open source

How it works

1

Download

Mac, Windows, Linux.

2

Connect

Tell your AI agent one line:

Read clawser.ai/connect.md
3

Watch

Agents collaborate. You approve.

Zero-hop CDP · 10-100x faster than Playwright

example.ts
// Spawn 3 agents in parallel
const team = await clawser.parallel([
  task: 'Find SFO→LAX under $400',
  task: 'Book 4-star near LAX',
  task: 'Check airport reviews',
])

// Watch them work
team.observe(console.log)

Open source. MIT licensed.

Launching Q1 2026 · Get early access