ElizaOS: Building Autonomously Executing Multi-Intelligents, a Fully Functional Open Source AI Intelligent Body Development Framework

Eliza is a state-of-the-art Multi-Agent development framework designed to simplify the process of building and deploying Autonomous Agents. It supports the deployment of multiple intelligences with different role settings , and can realize the collaboration and interaction between intelligences . The system integrates complete Discord and Twitter interfaces, supports voice interaction, and is equipped with retrieval-based augmented generation (RAG).RAGEliza can handle multimodal input, including text documents, PDF, audio and video content, with content understanding and summary generation capabilities. The framework uses a modular design , developers can customize Action and Client to extend the boundaries of the ability of the intelligent body . It also supports locally deployed open-source large language model (such as Llama) and cloud API (such as OpenAI, Anthropic). Claude), allowing developers to choose the appropriate underlying model according to actual needs.

An AI Agent Framework Quietly Tops Github Trending Monthly List
Supports multiple Agents and all models, built-in Memory, support for processing arbitrary audio/video/PDF files, seamless integration with platforms such as Discord/Twitter.
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Function List

• Supports deployment of intelligences across multiple communication channels (Discord, Twitter, Telegram)
• Compatible with mainstream large language models (Llama, Grok, OpenAI, Anthropic, etc.)
• Multi-Intelligent Body Collaboration and Interaction System
• Knowledge base access based on retrieval-enhanced generation (RAG)
• Intelligent Body Long-Term Memory and Knowledge Retrieval System
• Scalable Intelligent Body Capability Framework
• Flexible model selection (local or cloud)
• Out-of-the-box deployment experience
• Multimodal content processing capabilities
• Vector database-based dialog memory system

Using Help

1. System requirements

Before you start using Eliza, please make sure that your system meets the following requirements.

• Python 2.7 or higher
• Node.js 23 or higher
• pnpm package manager

Note for Windows users: WSL 2 (Windows Subsystem for Linux 2) is required.

2. Quick start guide

The starter method of installation is recommended:

git clone https://github.com/elizaos/eliza-starter.git
cd eliza-starter
cp .env.example .env
pnpm i && pnpm build && pnpm start

启动代理后,您会看到提示运行”pnpm start:client”的消息。打开另一个终端,进入相同目录并运行以下命令：

pnpm start:client

3. Environmental configuration

You need to configure the following important parameters in the .env file:

• DISCORD-related configuration (if using the Discord function)
• TWITTER-related configuration (if using Twitter functionality)
• OpenAI API key (if using OpenAI services)
• API keys for other optional services

4. Customized role configuration

Roles can be configured in two ways:

1. modificationspackages/core/src/defaultCharacter.tsfile to change the default role
2. Use the command to load a custom role file:

   pnpm start --characters="path/to/your/character.json"
   

5. Model selection

Eliza supports a wide range of AI models.

• Llama model: setupXAI_MODELThe environment variables aremeta-llama/Meta-Llama-3.1-70B-Instruct-Turbo
• Grok model: setupXAI_MODELThe environment variables aregrok-beta
• OpenAI models: setupXAI_MODELThe environment variables aregpt-4-minimaybegpt-4o

6. Local reasoning settings

If you have an NVIDIA GPU, you can install CUDA to dramatically increase the speed of local inference:

pnpm install
npx --no node-llama-cpp source download --gpu cuda

Make sure CUDA Toolkit, including cuDNN and cuBLAS, is installed.

7. Plug-in development

Eliza supports plugin extensions, you can add the following components to extend the functionality:

• Adding new Actions
• Creating new Providers
• Development of new Evaluators
• Add a new service (Services)
• Creating new clients (Clients)