jerome
05eccd5b53
- Moved scattered scripts, templates, and documentation into organized directories (applications/, scripts/, assets/). - Updated .gitignore to strictly exclude secrets, state files, and IDE configs. - Added comprehensive README.md outlining repository structure and best practices. - Preserved all existing documentation and technical architecture files. - Prepared infrastructure/ for AWS Org and Proxmox Terraform management.
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1|# 06 - OpenMAIC Education — Home
2|Purpose: OpenMAIC (Open Multi-Agent AI Collaboration) educational resources and curriculum.
3|
4|## What is OpenMAIC?
5|
6|OpenMAIC (Open Multi-Agent AI Collaboration) is an educational framework designed to help teams understand and implement multi-agent AI systems. It provides:
7|
8|- Structured Curriculum: From fundamentals to advanced patterns
9|- Hands-on Exercises: Real-world practice through coding challenges
10|- Community Learning: Collaborative problem-solving and knowledge sharing
11|
12|## Curriculum Structure
13|
14|### Module 1: Fundamentals
15|- Introduction to multi-agent systems
16|- Agent role definition and capabilities
17|- Basic orchestration patterns
18|- Simple agent collaboration examples
19|
20|### Module 2: Advanced Collaboration
21|- Complex workflow design
22|- Context sharing between agents
23|- Error handling and recovery
24|- Performance optimization
25|
26|### Module 3: Production Patterns
27|- Scaling to 10+ agents
28|- Monitoring and diagnostics
29|- Security best practices
30|- Cost optimization strategies
31|
32|### Module 4: Real-World Applications
33|- Market analysis automation
34|- Customer support orchestration
35|- Content pipeline automation
36|- Data processing workflows
37|
38|## Getting Started
39|
40|bash 41|# Step 1: Install OpenMAIC 42|pip install openmaic-core openmaic-visualizer 43| 44|# Step 2: Clone learning resources 45|git clone https://github.com/sysloggh/openmaic-learning.git 46|cd openmaic-learning/modules 47| 48|# Step 3: Start with Module 1 49|python module01_fundamentals.py 50|
51|
52|## Example Agent Collaboration
53|
54|python 55|from openmaic.core import Orchestrator, Agent 56| 57|# Initialize orchestrator 58|orchestrator = Orchestrator( 59| max_agents=3, 60| collaboration_mode="sequential" 61|) 62| 63|# Create agents 64|researcher = Agent(name="researcher", role="Research Assistant") 65|analyst = Agent(name="analyst", role="Data Analysis") 66|writer = Agent(name="writer", role="Content Generator") 67| 68|# Execute workflow 69|result = orchestrator.run([ 70| researcher.run(task="Research AI trends"), 71| analyst.run(task="Analyze market data"), 72| writer.run(task="Write market report") 73|]) 74|
75|
76|## Use Cases at Syslog GH/LLC
77|
78|- Market Research Automation: Automatically gather and analyze SMB AI adoption data
79|- Content Generation: Create service descriptions and case studies
80|- Customer Support: Multi-agent Q&A for client inquiries
81|- Code Review Agents: Automated code quality checks
82|
83|## Related Resources
84|
85|- [Autonomous AI Agents](../04\ -\ Autonomous\ AI\ Agents/) — Advanced workflows
86|- [Claude Code & Opencode](../01\ -\ Claude\ Code\ &\ Opencode/) — Practical implementation
87|- [MCP (Model Context Protocol)](../03\ -\ MCP\ (Model\ Context\ Protocol)/) — Tool integration
88|
89|---
90|
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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