Learn about multi-agent AI systems through this interactive documentation.
This is an educational resource covering multi-agent AI systems, including:
- Introduction - Core concepts of autonomous agents
- Architectures - Hierarchical, peer-to-peer, and supervisor-worker patterns
- Working Example - Practical implementation guide
- Best Practices - Guidelines for building robust systems
- Exercises - Hands-on challenges to test your knowledge
npm installnpm startStarts the local development server at http://localhost:3000.
npm buildGenerates static content in the build directory.
npm run serveDeploy to GitHub Pages:
# Using SSH
USE_SSH=true npm deploy
# Or using GitHub username
GIT_USER=<Your GitHub username> npm deploydocs/
├── multi-agent-systems/
│ ├── 01-introduction.md # Core concepts
│ ├── 02-architectures.md # Architecture patterns
│ ├── 03-example.md # Practical example
│ ├── 04-best-practices.md # Guidelines
│ ├── 05-exercises.md # Challenges
│ └── 06-summary.md # Chapter summary
- Docusaurus - Static site generator
- Mermaid - Diagrams as code
- React + Markdown
Contributions welcome! Feel free to open issues or submit PRs.
MIT