openclaw.hero.chip

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Open Claw

Your team of virtual employees

Deploy specialized AI agents to handle complex tasks across strategy, campaigns, SEO, and operations. Like having an entire department working 24/7.

Strategy Agent
Analyze market fit
"Analyze our current product-market fit and identify the biggest gaps we should address."
Growth Agent
Generating Document...
Go-to-market strategy
Data Agent
Define ICP & Enrich Leads
Processing
Scraping Agent
Gathering Intelligence...
SEO strategy & Competitors
Extracted
Marketing Agent
Ad copy variants
"Write 5 ad copy variants for a Facebook ad..."
Strategy Agent
Analyze market fit
"Analyze our current product-market fit and identify the biggest gaps we should address."
Growth Agent
Generating Document...
Go-to-market strategy
Data Agent
Define ICP & Enrich Leads
Processing
Scraping Agent
Gathering Intelligence...
SEO strategy & Competitors
Extracted
Marketing Agent
Ad copy variants
"Write 5 ad copy variants for a Facebook ad..."
Strategy Agent
Analyze market fit
"Analyze our current product-market fit and identify the biggest gaps we should address."
Growth Agent
Generating Document...
Go-to-market strategy
Data Agent
Define ICP & Enrich Leads
Processing
Scraping Agent
Gathering Intelligence...
SEO strategy & Competitors
Extracted
Marketing Agent
Ad copy variants
"Write 5 ad copy variants for a Facebook ad..."
Strategy Agent
Analyze market fit
"Analyze our current product-market fit and identify the biggest gaps we should address."
Growth Agent
Generating Document...
Go-to-market strategy
Data Agent
Define ICP & Enrich Leads
Processing
Scraping Agent
Gathering Intelligence...
SEO strategy & Competitors
Extracted
Marketing Agent
Ad copy variants
"Write 5 ad copy variants for a Facebook ad..."
Strategy Agent
Market Research
Ready
One-Click Deploy

openclaw.features.f1.title

openclaw.features.f1.desc

Find 50 B2B SaaS companies using React and get their CTO's email.
Done! I found 50 matching accounts and 62 contacts. I've added them to your CRM.

openclaw.features.f2.title

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Neural Router
Task: Complex Reasoning
GPT-4o
Task: Web Scraping
Claude 3.5 Sonnet
Task: Data Formatting
Llama 3 70B

openclaw.features.f3.title

openclaw.features.f3.desc

SOC 2 Type II
Enterprise Grade
Zero Data Training
Your data is yours

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openclaw.capabilities.subtitle

openclaw.capabilities.c1.title

openclaw.capabilities.c1.desc

https://target-company.com/about
Target Company Inc.
Extracting Data
Data Scraped
Saved to CRM
script.py
1import requests
2import pandas as pd
3
4def process_data(url):
5response = requests.get(url)
Execution Log
> Running script.py...
> Data fetched successfully (245kb)
> Processing complete. Exit 0.
Agent Logic
Auto-generated script

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Action Sequence
Click 'Export CSV'
Completed
Fill form 'Lead Details'
In Progress
Submit application
Pending
POST /api/v1/sync200 OK
{
"status": "success",
"data_points": 1452,
"target": "crm_database"
}

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openclaw.capabilities.c5.title

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Natural Language Goal
"Find 50 B2B SaaS companies in Europe, extract their CEO's contact info, and add them to my outreach sequence."
Agent Planning
Executing
Search LinkedIn for SaaS companiesDone
Filter by location: EuropeDone
Identify CEO profiles
Active
Extract contact info
Pending
Contextual Memory
Previous Interactions
User prefers concise summaries over detailed logs.
Stored Credentials
Authenticated for LinkedIn, GitHub, and Salesforce.
Learned Workflows
Optimized lead extraction path saved. 24% faster.

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openclaw-agent — bash
$openclaw.terminal.prompt1
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$openclaw.terminal.prompt2
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