AutoClaw Browser Automation with AutoGLM

AutoClaw integrates AutoGLM browser automation technology from Zhipu AI, enabling your AI agent to operate the browser like a human. Browse web pages, fill forms, extract information, and interact with web applications — all running locally on your machine with full access to your authenticated sessions.

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What Is AutoGLM Browser Automation?

AutoGLM is Zhipu AI's browser automation technology integrated into AutoClaw, giving the AI agent human-like control over web browsers.

AI Agent Operates the Browser Like a Human

AutoGLM enables the AutoClaw AI agent to interact with web pages the same way a human user would — navigating between pages, clicking buttons, typing into input fields, scrolling through content, and reading on-screen information. The agent sees the browser and understands web page structure, allowing it to autonomously complete complex browser-based tasks.

This dramatically expands the range of tasks that can be automated. Any workflow that involves a web browser — from researching information to managing web applications — becomes something your AI agent can handle end-to-end without manual intervention.

  • Navigate to URLs and follow links across websites
  • Click buttons, select dropdown options, and interact with UI elements
  • Type text into search bars, forms, and input fields
  • Read and extract content from web pages
  • Handle multi-step workflows spanning multiple sites
# AutoGLM Browser Automation

User: "Find the latest AI research
       papers and summarize them"

AutoClaw Agent:
  1. Open browser
  2. Navigate to research site
  3. Search "AI research 2026"
  4. Click relevant results
  5. Extract paper abstracts
  6. Synthesize summary
  7. Return formatted report

# Fully autonomous via AutoGLM

Browser Automation Capabilities

Four core capabilities that make AutoClaw's browser automation powerful and versatile.

🌐

Web Page Browsing

Navigate across websites, follow links, switch between tabs, and scroll through content. The agent understands page layout and can locate specific information even on complex, dynamic web pages.

📝

Form Filling

Automatically fill out web forms, login pages, registration fields, and data entry interfaces. The agent identifies input fields, selects appropriate values, and submits forms accurately.

📊

Information Extraction

Extract structured data from web pages including text, tables, prices, contact details, and more. The agent can gather information across multiple pages and compile it into organized reports.

⚙️

Web App Interaction

Interact with web-based applications like CRM systems, project management tools, email clients, and dashboards. The agent operates these apps through their browser interfaces just as a human would.


The Local Deployment Advantage

Why running browser automation locally on your machine changes everything.

Your Browser, Your Sessions, Your Data

Because AutoClaw runs locally on your desktop, the AutoGLM browser automation agent has direct access to your local browser. This means the agent can leverage your existing authenticated sessions, cookies, and saved credentials — eliminating the need to re-authenticate or configure access for each task.

This is a critical differentiator from cloud-based competitors. Products like KimiClaw operate within a browser sandbox in the cloud, which severely limits what the agent can access. Cloud sandboxes cannot reach your locally authenticated services, corporate intranets, or sites protected by VPN. AutoClaw faces no such limitations because it operates directly on your machine.

  • Access locally authenticated sessions and saved logins
  • Use existing browser cookies and credentials
  • Reach corporate intranets and VPN-protected sites
  • No cloud sandbox restrictions or capability limitations
  • Full browser feature set — extensions, bookmarks, history
# Cloud-Based (e.g. KimiClaw)

Browser: Cloud sandbox
Sessions: None (isolated)
Cookies: None (fresh env)
Intranet: Blocked
Capability: Limited

# AutoClaw (Local)

Browser: Your local browser
Sessions: All authenticated
Cookies: Full access
Intranet: Accessible
Capability: Unrestricted

AutoClaw vs. Cloud-Based Browser Automation

A direct comparison showing why local browser automation delivers more power and flexibility.

Dimension AutoClaw (Local) Cloud Sandbox (e.g. KimiClaw)
Browser Environment Your local browser with full capabilities Isolated cloud sandbox with limited features
Authenticated Sessions Access all logged-in services No access — must re-authenticate each time
Cookies & Credentials Full access to saved data Fresh environment — no stored data
Corporate Intranet Accessible via local network/VPN Not reachable from cloud
Browser Extensions All installed extensions available No extension support
Task Complexity Complex multi-step workflows Simple, single-context tasks
Underlying Model Pony-Alpha-2 (optimized for agents) General-purpose LLM

Stable Execution with Pony-Alpha-2

Browser automation requires precise, reliable model execution — Pony-Alpha-2 delivers exactly that.

Combined with Pony-Alpha-2 for Reliable Automation

Browser automation tasks are inherently complex — they involve multi-step sequences where each action depends on the previous one. A missed click, a wrong input, or a skipped step can derail the entire workflow. This is why the underlying model matters enormously.

AutoClaw pairs AutoGLM with Pony-Alpha-2, Zhipu's proprietary model purpose-built for agent scenarios. Pony-Alpha-2's enhanced tool-calling stability ensures that browser automation commands are executed precisely and consistently. Its optimized task decomposition breaks complex workflows into reliable, sequential steps that complete without errors.

  • Precise tool-calling prevents missed or incorrect browser actions
  • Reliable multi-step task decomposition for complex workflows
  • Low-latency responses for smooth, real-time browser interaction
  • Purpose-built for agent scenarios, not a general-purpose LLM
# Pony-Alpha-2 + AutoGLM

task: "Book a meeting room
       for tomorrow 2-3pm"

Pony-Alpha-2 decomposes:
  1. open booking portal
  2. authenticate (local session)
  3. select tomorrow's date
  4. find 2:00-3:00 PM slot
  5. choose available room
  6. confirm booking
  7. verify confirmation

# Each step executed precisely

Automate Your Browser with AutoClaw

Download AutoClaw and let your AI agent handle browser tasks — from web research to form filling to web app management.

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