Meet Agent TARS
ByteDance's open-source multimodal AI agent framework.
字节跳动开源的多模态 AI Agent 框架 — 让 AI 看得见、理解、操作。
Architecture 架构
Four-layer stack designed for reliable, scalable multimodal agent operations.
Application Layer
应用层
Agent Core
Agent 核心
Multimodal Foundation
多模态基础
Infrastructure
基础设施
Core Capabilities
核心能力 — From perception to action, Agent TARS bridges understanding and execution.
Multimodal Understanding
多模态理解
Process text, images, and video simultaneously for richer context awareness.
同时处理文本、图像和视频，获得更丰富的上下文感知能力。
Task Automation
任务自动化
Automate complex workflows with agentic reasoning and tool use.
通过智能推理和工具调用，自动化执行复杂工作流。
Visual Grounding
视觉定位
Understand and interact with GUI elements in screenshots and UI layouts.
理解并交互屏幕截图和界面布局中的图形元素。
GUI Navigation
图形界面导航
Navigate websites and applications by understanding visual layouts.
通过理解视觉布局自动导航网站和应用。
Code Generation
代码生成
Generate code from natural language descriptions and screenshots.
根据自然语言描述或截图自动生成代码。
Conversational
对话交互
Natural multi-turn conversations with rich context retention.
支持多轮对话和丰富上下文保持的自然交互。
CommerceOS Integration
深度集成 — Agent TARS powers every step of your e-commerce workflow.
E-commerce Listing Automation
电商上架自动化
Automatically generate product listings with optimized images, descriptions, and SEO keywords.
自动生商品上架信息，包含优化的图片、描述和 SEO 关键词。
Video Content Pipeline
视频内容流水线
Create short-form marketing videos from product photos and descriptions.
从商品照片和描述自动生成短视频营销素材。
Multi-platform Publishing
多平台发布
Publish products to Amazon, Shopify, Shopee, and more from a single interface.
从单一界面同时发布商品到 Amazon、Shopify、Shopee 等多个平台。
Intelligent Customer Service
智能客服
AI agents that handle customer inquiries, return requests, and order tracking.
处理客户咨询、退货请求和订单追踪的 AI 代理。
Performance Benchmarks 性能基准
Industry-leading scores across standard GUI agent evaluation benchmarks.
Quick Start 快速开始
Get Agent TARS running locally in four steps.
git clone https://github.com/bytedance/Agent-TARS.gitClone the repository
cd Agent-TARS && pip install -e .Install dependencies
export OPENAI_API_KEY="your-key"Configure API keys
python -m tars.server --port 8000Start the server
Ready to Build?
Start using Agent TARS with CommerceOS today.
今天就开始使用 CommerceOS 的 Agent TARS。
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