Technical Learning Track

Welcome to the Technical Learning Track! This comprehensive track takes you deep into ElizaOS architecture, enabling you to build sophisticated multi-agent systems and custom integrations.

Track Overview

Duration: 8-12 hours
Prerequisites: Strong programming background, TypeScript knowledge
Goal: Master ElizaOS architecture and build production-ready systems

What You'll Build

By the end of this track, you'll have:

• Deep understanding of ElizaOS architecture
• Custom plugins with actions, evaluators, and providers
• Advanced state management and memory systems
• Multi-agent coordination patterns
• Custom model providers and integrations
• Production deployment strategies

Learning Modules

Phase 1: Architecture Deep Dive (3-4 hours)

Module 1: Core Architecture

• Runtime System
• Plugin Architecture
• Event System
• State Management

Module 2: Advanced Components

• Memory System
• Model Abstraction
• Provider System
• Service Architecture

Phase 2: Custom Development (3-4 hours)

Module 3: Plugin Development

• Building Actions
• Creating Evaluators
• Custom Providers
• Background Services

Module 4: Advanced Patterns

• Multi-Agent Systems
• Agent Coordination
• Custom Integrations
• Performance Optimization

Phase 3: Production Systems (2-4 hours)

Module 5: Deployment & Scaling

• Production Architecture
• Database Strategies
• Monitoring & Logging
• Security Considerations

Module 6: Advanced Topics

• Custom Model Providers
• Platform Extensions
• Testing Strategies
• Contributing Guidelines

Track Features

Architecture Focus

Deep dive into system design and implementation patterns.

Hands-On Labs

Build real components and systems from scratch.

Performance Insights

Learn optimization techniques and monitoring strategies.

Production Ready

Deployment patterns and scaling strategies.

Prerequisites Check

Before starting, ensure you have:

• Advanced TypeScript/JavaScript knowledge
• Understanding of async/await patterns
• Experience with Node.js and npm/yarn
• Familiarity with databases (PostgreSQL preferred)
• Basic understanding of AI/ML concepts
• Docker knowledge (for deployment modules)

Learning Path Options

Option A: Sequential Learning

Follow modules in order for comprehensive understanding.

Option B: Focused Learning

Jump to specific modules based on your needs:

• Plugin Development: Modules 3-4
• Architecture: Modules 1-2
• Production: Modules 5-6

Option C: Project-Based Learning

Build a complete system while learning:

1. Define your project requirements
2. Follow relevant modules
3. Implement incrementally

Projects You'll Build

Project 1: Custom Plugin

Build a weather plugin with:

• Custom actions for weather queries
• Data providers for weather APIs
• Evaluators for location detection
• Background services for caching

Project 2: Multi-Agent System

Create a customer service system with:

• Multiple specialized agents
• Coordination mechanisms
• Shared knowledge base
• Escalation patterns

Project 3: Production Deployment

Deploy a scalable agent system with:

• Load balancing
• Database clustering
• Monitoring and alerting
• Security hardening

Assessment & Certification

Knowledge Checks

• Architecture understanding quizzes
• Code review exercises
• System design challenges

Practical Assessments

• Build custom plugins
• Implement multi-agent coordination
• Design production architectures

Certification Path

Complete all modules and assessments to earn:

• ElizaOS Technical Certification
• Contributor recognition
• Priority support access

Getting Help

For technical questions:

1. Check the Core Concepts documentation
2. Review the Architecture section
3. Join the technical Discord channels
4. Participate in code reviews

Ready to Start?

Let's dive deep into ElizaOS architecture and build amazing systems!

Start Module 1: Runtime System →

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Estimated completion time: 8-12 hours
Difficulty: Advanced
Previous track: Simple Track