ElizaOS: Deep Dive Tutorial

June 22, 2026 · View on GitHub

Project: ElizaOS — Autonomous agents for everyone.

Why This Track Matters

ElizaOS is increasingly relevant for developers working with modern AI/ML infrastructure. Project: ElizaOS — Autonomous agents for everyone, and this track helps you understand the architecture, key patterns, and production considerations.

This track focuses on:

understanding getting started with elizaos
understanding agent runtime
understanding character system
understanding plugin architecture

What Is ElizaOS?

ElizaOS is an open-source framework for building, deploying, and managing autonomous multi-agent AI systems. It provides a complete platform for creating AI agents — chatbots, business automation, game NPCs, and Web3-native agents that interact with blockchains and smart contracts.

Feature	Description
Multi-Agent	Orchestrate groups of specialized agents with delegation and coordination
Plugin System	Modular architecture — model providers, connectors, actions, all via plugins
Character Files	Configure agent personality, goals, and behavior via JSON definitions
Multi-Platform	Discord, Telegram, Slack, X/Twitter, Farcaster connectors
Web3 Native	Wallet management, smart contracts, DeFi, token operations
RAG Built-in	Document ingestion, embeddings, retrieval-augmented generation
Model Agnostic	OpenAI, Anthropic, Gemini, Llama, Grok — any LLM backend
Desktop & Web	Tauri desktop app, React web dashboard, CLI tools

Current Snapshot (auto-updated)

repository: elizaOS/eliza
stars: about 18.6k

Mental Model

graph TB
    subgraph Core["@elizaos/core"]
        RT[AgentRuntime]
        CHAR[Character System]
        MEM[Memory & RAG]
        EVENT[Event Pipeline]
    end

    subgraph Plugins["Plugin Ecosystem"]
        BOOT[plugin-bootstrap<br/>Actions, Providers]
        SQL[plugin-sql<br/>Database]
        CUSTOM[Custom Plugins<br/>Actions, Services, Models]
    end

    subgraph Connectors["Platform Connectors"]
        DC[Discord]
        TG[Telegram]
        TW[X/Twitter]
        SL[Slack]
        FC[Farcaster]
    end

    subgraph Infrastructure["Infrastructure"]
        SERVER[Express Server]
        CLIENT[React Dashboard]
        CLI[CLI Tools]
        APP[Desktop App]
    end

    Core --> Plugins
    Core --> Connectors
    Plugins --> Infrastructure
    Connectors --> EVENT

Chapter Guide

Chapter	Topic	What You'll Learn
1. Getting Started	Installation & Setup	Install ElizaOS, create your first agent, run the server
2. Agent Runtime	Core Engine	AgentRuntime, lifecycle, state management, model invocation
3. Character System	Agent Identity	Character files, personality, goals, knowledge, behavior
4. Plugin Architecture	Extensibility	Actions, providers, evaluators, services, custom plugins
5. Memory & RAG	Knowledge	Conversation memory, embeddings, document ingestion, retrieval
6. Platform Connectors	Multi-Platform	Discord, Telegram, Slack, X/Twitter, unified event pipeline
7. Multi-Agent Orchestration	Coordination	Agent groups, delegation, worlds/rooms, coordination patterns
8. Production Deployment	Operations	Docker, monitoring, Web3 integration, scaling, security

Tech Stack

Component	Technology
Language	TypeScript
Runtime	Bun / Node.js >= 23
Build	Turbo (monorepo), Lerna (releases)
Server	Express.js, Socket.IO
Web UI	React
Desktop	Tauri
Database	PostgreSQL, PGLite (embedded)
Embeddings	Model-agnostic (OpenAI, local)

Prerequisites

Node.js >= 23 or Bun
An LLM API key (OpenAI, Anthropic, etc.)
PostgreSQL (optional — PGLite works out of the box)

Ready to begin? Start with Chapter 1: Getting Started.

Built with insights from the ElizaOS repository and community documentation.

What You Will Learn

Core architecture and key abstractions
Practical patterns for production use
Integration and extensibility approaches

Full Chapter Map

Source References

ElizaOS

Generated by AI Codebase Knowledge Builder