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Agents

Agents

Explore the browser agents supported by LexBench platform, view configuration and integration guide

Agent-TARS

v1.0
ByteDance·AvailableMultimodal

ByteDance's open-source multimodal browser agent supporting complex web interaction tasks

Key Capabilities

Multimodal understanding
Complex web interactions
Visual element recognition
Auto screenshot analysis

Supported Data

LexBench-BrowserOnline-Mind2WebBrowseComp

browser-use

v0.1
Community·AvailableAutomation

Lightweight browser automation agent, easy to integrate and extend

Key Capabilities

Lightweight design
Fast response
Easy to extend
Low resource usage

Supported Data

LexBench-BrowserOnline-Mind2Web

Skyvern

v1.0
Skyvern AI·AvailableAutomation

基于计算机视觉的浏览器自动化 Agent,对 UI 变化具有强鲁棒性

Key Capabilities

Computer vision-based
Robust to UI changes
Multi-step workflows
Enterprise-ready

Supported Data

LexBench-Browser

SeeClick

v1.0
Community·AvailableMultimodal

视觉-语言多模态 GUI 模型,支持屏幕理解和点击预测

Key Capabilities

Vision-language model
GUI grounding
Click prediction
Screen understanding

Supported Data

LexBench-Browser

How to Integrate New Agent

Follow these steps to integrate your agent into LexBench platform

1
Implement Interface

Implement the Agent interface specification defined by LexBench

2
Add Configuration

Add agent configuration file in the agents directory

3
Submit Evaluation

Run evaluation scripts and submit results

Quick Start
# Run Agent-TARS evaluation
python scripts/run.py \
  --agent Agent-TARS \
  --data LexBench-Browser \
  --split no_login \
  --mode first_n \
  --count 10

# Run browser-use evaluation
python scripts/run.py \
  --agent browser-use \
  --data LexBench-Browser \
  --split no_login \
  --mode first_n \
  --count 10
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