ElizaOS

Overview

ElizaOS is an open-source "operating system" for autonomous AI agents—an integrated platform that combines a modular backend, a React web UI, a command-line interface (CLI), and an extensible plugin ecosystem to help developers build, run, and manage multi-agent AI applications.

Key Capabilities

• Model-agnostic: Integrates with multiple model providers and runtimes, enabling use of OpenAI-style APIs, Anthropic, Gemini, local Llama-style models, and others.
• Multi-agent architecture: Designed to create, orchestrate, and manage groups of specialized agents that can communicate and collaborate to accomplish tasks.
• Rich connectivity: Built-in connectors for popular chat platforms (Discord, Telegram, Farcaster, etc.) and other integrations to deploy agents into real-world channels.
• Document ingestion & RAG: Tools for indexing documents and enabling agents to retrieve and answer from private data sources.
• Extensible plugin system: Developers can add custom functionality via plugins (database adapters, connectors, tool integrations, etc.).
• Developer ergonomics: A modern web dashboard for realtime management, a CLI for quick project scaffolding and local development, and example standalone usage for embedding agents into applications.

Architecture & Components

ElizaOS is maintained as a monorepo containing multiple packages:

• @elizaos/server — core backend (Express.js) that runs agents and exposes APIs.
• @elizaos/client — React-based web UI for managing agents, conversations, and deployments.
• @elizaos/cli — command-line tool to scaffold projects, run agents, and manage environments.
• plugin packages — modular plugins for database integration (Postgres, PGLite), bootstrap/event handling, and other extensions.
• examples — standalone usage samples (interactive chat, basic processing) to embed agents directly into apps.

Getting Started (high level)

1. Install the CLI (requires Node.js and bun):

   bun install -g @elizaos/cli

2. Create a new agent project:

   elizaos create my-first-agent

3. Configure API keys and environment variables, then start:

   elizaos start

The platform supports quick local development, a production-ready server API, and an interactive web dashboard at http://localhost:3000 when running locally.

Use Cases

• Conversational agents (chatbots) and assistant bots for teams.
• Autonomous business process automation where multiple agents coordinate tasks.
• Game NPCs with complex, multi-agent behaviors.
• Knowledge agents that answer from ingested documents (RAG).

Community, License & Citation

ElizaOS is MIT-licensed and accepts community contributions via GitHub. Project documentation is available at its docs site, and the repository includes contribution guidelines, CI status, and badges. The project also provides a citation (arXiv preprint referenced in the repo) for academic use.

Who should use it

Developers and teams who need a full-stack, extensible platform to prototype and deploy multi-agent AI systems quickly—especially when they want vendor flexibility for model providers and a plugin-based architecture for production integration.