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.
92 lines
3.5 KiB
Markdown
92 lines
3.5 KiB
Markdown
1|# 06 - OpenMAIC Education — Home
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2|**Purpose:** OpenMAIC (Open Multi-Agent AI Collaboration) educational resources and curriculum.
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3|
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4|## What is OpenMAIC?
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5|
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6|OpenMAIC (Open Multi-Agent AI Collaboration) is an educational framework designed to help teams understand and implement multi-agent AI systems. It provides:
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7|
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8|- **Structured Curriculum:** From fundamentals to advanced patterns
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9|- **Hands-on Exercises:** Real-world practice through coding challenges
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10|- **Community Learning:** Collaborative problem-solving and knowledge sharing
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11|
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12|## Curriculum Structure
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13|
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14|### **Module 1: Fundamentals**
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15|- Introduction to multi-agent systems
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16|- Agent role definition and capabilities
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17|- Basic orchestration patterns
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18|- Simple agent collaboration examples
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19|
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20|### **Module 2: Advanced Collaboration**
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21|- Complex workflow design
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22|- Context sharing between agents
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23|- Error handling and recovery
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24|- Performance optimization
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25|
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26|### **Module 3: Production Patterns**
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27|- Scaling to 10+ agents
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28|- Monitoring and diagnostics
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29|- Security best practices
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30|- Cost optimization strategies
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31|
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32|### **Module 4: Real-World Applications**
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33|- Market analysis automation
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34|- Customer support orchestration
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35|- Content pipeline automation
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36|- Data processing workflows
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37|
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38|## Getting Started
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39|
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40|```bash
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41|# Step 1: Install OpenMAIC
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42|pip install openmaic-core openmaic-visualizer
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43|
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44|# Step 2: Clone learning resources
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45|git clone https://github.com/sysloggh/openmaic-learning.git
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46|cd openmaic-learning/modules
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47|
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48|# Step 3: Start with Module 1
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49|python module01_fundamentals.py
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50|```
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51|
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52|## Example Agent Collaboration
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53|
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54|```python
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55|from openmaic.core import Orchestrator, Agent
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56|
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57|# Initialize orchestrator
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58|orchestrator = Orchestrator(
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59| max_agents=3,
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60| collaboration_mode="sequential"
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61|)
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62|
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63|# Create agents
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64|researcher = Agent(name="researcher", role="Research Assistant")
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65|analyst = Agent(name="analyst", role="Data Analysis")
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66|writer = Agent(name="writer", role="Content Generator")
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67|
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68|# Execute workflow
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69|result = orchestrator.run([
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70| researcher.run(task="Research AI trends"),
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71| analyst.run(task="Analyze market data"),
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72| writer.run(task="Write market report")
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73|])
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74|```
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75|
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76|## Use Cases at Syslog GH/LLC
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77|
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78|- **Market Research Automation:** Automatically gather and analyze SMB AI adoption data
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79|- **Content Generation:** Create service descriptions and case studies
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80|- **Customer Support:** Multi-agent Q&A for client inquiries
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81|- **Code Review Agents:** Automated code quality checks
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82|
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83|## Related Resources
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84|
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85|- **[Autonomous AI Agents](../04\ -\ Autonomous\ AI\ Agents/)** — Advanced workflows
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86|- **[Claude Code & Opencode](../01\ -\ Claude\ Code\ \&\ Opencode/)** — Practical implementation
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87|- **[MCP (Model Context Protocol)](../03\ -\ MCP\ \(Model\ Context\ Protocol\)/)** — Tool integration
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88|
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89|---
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90|
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91|*Perfect for Jerome & Theodore's strategy sessions on AI agent frameworks and multi-agent collaboration patterns. This curriculum supports our mission to educate SMBs on AI adoption while building our own agent capabilities.*
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92| |