jerome
b671546622
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
2|**Purpose:** Complete guide to setting up and using the OpenClaw agent orchestration framework.
3|
4|## What is OpenClaw?
5|OpenClaw provides a powerful framework for orchestrating AI agents, enabling multi-agent collaboration, task delegation, and complex workflow automation.
6|
7|## Quick Start
8|
9|### Installation
10|```bash
11|# Clone the repository
12|git clone https://github.com/openclaw/openclaw.git
13|cd openclaw
14|
15|# Install dependencies
16|pip install -r requirements.txt
17|
18|# Configure API keys
19|export OPENCLAW_API_KEY="***"
20|```
21|
22|### Basic Usage
23|```python
24|from openclaw import AgentOrchestrator
25|
26|# Create an orchestrator
27|orchestrator = AgentOrchestrator()
28|
29|# Define agent roles
30|agents = {
31| "researcher": Agent(role="researcher"),
32| "analyst": Agent(role="analyst"),
33| "writer": Agent(role="writer")
34|}
35|
36|# Run a multi-agent workflow
37|result = orchestrator.run_task(
38| task="Write market analysis report",
39| agents=agents
40|)
41|```
42|
43|## Framework Components
44|
45|- **Agent Registry:** Pool of specialized agents
46|- **Task Dispatcher:** Routes tasks to appropriate agents
47|- **Collaboration Layer:** Enables agent-to-agent communication
48|- **Orchestration Engine:** Coordinates complex workflows
49|
50|## Use Cases
51|
52|- Market research automation
53|- Content generation pipelines
54|- Multi-step data analysis
55|- Autonomous decision making
56|
57|---
58|
59|*For advanced usage, refer to the Advanced Usage guide and API Reference documentation.*