Milestone 1: Documentation Foundation Structure
Created complete documentation structure with: • Root README.md with repository overview • Documentation directory structure (01-05 + templates) • Migrated content from public repository • New operational documentation • Comprehensive templates for business workflows Sections: 1. 01-business-strategy/ - Business vision, market analysis, financials 2. 02-technical-architecture/ - Infrastructure, AI agents, deployment 3. 03-operations/ - Client onboarding, support processes 4. 04-customer-portal/ - Placeholder for client-facing docs 5. 05-development/ - Placeholder for dev standards 6. templates/ - 5 reusable business templates This commit establishes the foundation for the repository reorganization. Content review will be conducted separately.
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1|# OpenClaw Framework — Home
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2|**Purpose:** Complete guide to setting up and using the OpenClaw agent orchestration framework.
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3|
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4|## What is OpenClaw?
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5|OpenClaw provides a powerful framework for orchestrating AI agents, enabling multi-agent collaboration, task delegation, and complex workflow automation.
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6|
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7|## Quick Start
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8|
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9|### Installation
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10|```bash
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11|# Clone the repository
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12|git clone https://github.com/openclaw/openclaw.git
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13|cd openclaw
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14|
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15|# Install dependencies
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16|pip install -r requirements.txt
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17|
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18|# Configure API keys
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19|export OPENCLAW_API_KEY="***"
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20|```
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21|
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22|### Basic Usage
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23|```python
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24|from openclaw import AgentOrchestrator
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25|
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26|# Create an orchestrator
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27|orchestrator = AgentOrchestrator()
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28|
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29|# Define agent roles
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30|agents = {
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31| "researcher": Agent(role="researcher"),
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32| "analyst": Agent(role="analyst"),
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33| "writer": Agent(role="writer")
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34|}
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35|
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36|# Run a multi-agent workflow
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37|result = orchestrator.run_task(
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38| task="Write market analysis report",
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39| agents=agents
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40|)
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41|```
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42|
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43|## Framework Components
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44|
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45|- **Agent Registry:** Pool of specialized agents
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46|- **Task Dispatcher:** Routes tasks to appropriate agents
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47|- **Collaboration Layer:** Enables agent-to-agent communication
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48|- **Orchestration Engine:** Coordinates complex workflows
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49|
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50|## Use Cases
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51|
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52|- Market research automation
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53|- Content generation pipelines
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54|- Multi-step data analysis
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55|- Autonomous decision making
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56|
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57|---
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58|
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59|*For advanced usage, refer to the Advanced Usage guide and API Reference documentation.*
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