Installation
npx skills add elizaos/eliza --skill himalaya 19
Installs
ElizaOS
The Open-Source Framework for Multi-Agent AI Development
Build, deploy, and manage autonomous AI agents with a modern, extensible, and full-featured platform.
β¨ What is Eliza?
ElizaOS is an all-in-one, extensible platform for building and deploying AI-powered applications. Whether you're creating sophisticated chatbots, autonomous agents for business process automation, or intelligent game NPCs, Eliza provides the tools you need to get started quickly and scale effectively.
It combines a modular architecture, a powerful CLI, and a rich web interface to give you full control over your agents' development, deployment, and management lifecycle.
For complete guides and API references, visit our official documentation.
π Key Features
- π Rich Connectivity: Out-of-the-box connectors for Discord, Telegram, Farcaster, and more.
- π§ Model Agnostic: Supports all major models, including OpenAI, Gemini, Anthropic, Llama, and Grok.
- π₯οΈ Modern Web UI: A professional dashboard for managing agents, groups, and conversations in real-time.
- π€ Multi-Agent Architecture: Designed from the ground up for creating and orchestrating groups of specialized agents.
- π Document Ingestion: Easily ingest documents and allow agents to retrieve information and answer questions from your data (RAG).
- π οΈ Highly Extensible: Build your own functionality with a powerful plugin system.
- π¦ It Just Works: A seamless setup and development experience from day one.
π Getting Started (5-Minute Quick Start)
There are two recommended paths for using Eliza:
For Beginners & Standalone Projects (CLI): If you want to create and deploy agents without modifying Eliza's core code, the CLI is the fastest and simplest method. The guide below is for you.
For Power Users & Contributors (Monorepo): If you plan to contribute to Eliza, create complex custom plugins, or manage multiple projects in one place, we recommend cloning the full monorepo. See the How to Contribute section to get started.
Get your first AI agent running in just a few commands.
Prerequisites:
Note for Windows Users: WSL 2 is required.
1. Install the CLI
# Install the ElizaOS CLI globally
bun install -g @elizaos/cli
# Verify installation
elizaos --version2. Create Your Project
# Create a new project with an interactive setup
elizaos create my-first-agent
# Follow the prompts. For beginners, we recommend:
# - Database: pglite (no setup required)
# - Model Provider: openai
# - Project Type: project3. Configure Your API Key
cd my-first-agent
# Open the local environment file
elizaos env edit-localAdd your model provider's API key (e.g., for OpenAI):
OPENAI_API_KEY=your_api_key_here4. Start Your Agent
# Build and start the agent server
elizaos startYour agent is now running!
- Web Interface: http://localhost:3000
- API Endpoint:
http://localhost:3000/api
π **Advanced CLI Commands & Usage**
Eliza's CLI is powerful. Here are some more commands for development and management.
Development Workflow
# Make changes to your agent code, then rebuild and restart
bun run build
elizaos start
# Or, start in development mode with auto-rebuild
elizaos dev
# Run tests to verify your changes
elizaos testAgent & Environment Management
# List all available agents
elizaos agent list
# Start a specific agent by name
elizaos agent start --name "MyAgent"
# Show all environment variables
elizaos env listDebugging
# Start with detailed debug logging
LOG_LEVEL=debug elizaos startFor a full command reference, run elizaos --help or elizaos <command> --help.
π§ Running ElizaOS Core Standalone
Use ElizaOS agents directly in your applications without the CLI or web interface.
git clone https://github.com/elizaos/eliza.git
cd eliza/examples
# Interactive chat
OPENAI_API_KEY=your_key bun run standalone-cli-chat.ts
# Basic message processing
OPENAI_API_KEY=your_key bun run standalone.tsποΈ Architecture Overview
Eliza is a monorepo that contains all the packages needed to run the entire platform.
/
βββ packages/
β βββ server/ # Core backend server (Express.js)
β βββ client/ # Frontend web interface (React)
β βββ cli/ # Command-line tool for managing projects
β βββ core/ # Shared utilities and functions
β βββ app/ # Cross-platform desktop app (Tauri)
β βββ plugin-bootstrap/ # Core communication and event handling plugin
β βββ plugin-sql/ # Database integration (Postgres, PGLite)
β βββ ... # Other plugins and project starters
βββ ...@elizaos/server: The Express.js backend that runs your agents and exposes the API.@elizaos/client: The React-based web UI for managing and interacting with your agents.@elizaos/cli: The central tool for scaffolding, running, and managing your projects.@elizaos/plugin-bootstrap: The mandatory core plugin that handles message processing and basic agent actions.
π€ How to Contribute
We welcome contributions from the community! Please read our CONTRIBUTING.md guide to get started.
- Report a Bug: Open an issue using the Bug Report template.
- Request a Feature: Use the Feature Request template.
- Submit a Pull Request: Please open an issue first to discuss your proposed changes.
π License
This project is licensed under the MIT License. See the LICENSE file for details.
π Citation
If you use Eliza in your research, please cite our paper:
@article{walters2025eliza,
title={Eliza: A Web3 friendly AI Agent Operating System},
author={Walters, Shaw and Gao, Sam and Nerd, Shakker and Da, Feng and Williams, Warren and Meng, Ting-Chien and Han, Hunter and He, Frank and Zhang, Allen and Wu, Ming and others},
journal={arXiv preprint arXiv:2501.06781},
year={2025}
}Contributors
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How to use this skill
Install himalaya by running npx skills add elizaos/eliza --skill himalaya in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of himalaya, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files β not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level β the content inside determines which language or framework it applies to.
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