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WebAgent (WebWalker & WebDancer) - AI Agent Frameworks Tool

Overview

WebAgent (WebWalker & WebDancer) is an open-source autonomous agent framework from Alibaba Group for information seeking. It includes WebWalker, an ACL2025 benchmark for LLM web traversal, and WebDancer, a native agentic search reasoning model described in a preprint.

Key Features

  • Open-source autonomous agent framework for information seeking
  • WebWalker: benchmark evaluating LLM web traversal (ACL2025)
  • WebDancer: native agentic search reasoning model (preprint)
  • Implements the ReAct framework for agent reasoning and actions
  • Four-stage training paradigm including supervised fine-tuning and reinforcement learning
  • Designed for long-horizon, multi-step web traversal and autonomous search

Ideal Use Cases

  • Benchmarking LLMs on web traversal tasks
  • Researching agentic search and web-based reasoning
  • Developing autonomous multi-step web information agents
  • Evaluating reinforcement learning strategies for agent behavior

Getting Started

  • Visit the GitHub repository to review the README
  • Clone the repository and inspect example notebooks
  • Install dependencies listed in the repository
  • Run provided example scripts and baseline evaluations
  • Adapt training or evaluation scripts to your data

Pricing

No pricing information disclosed; project is open-source on GitHub.

Limitations

  • Components are research artifacts (ACL2025 benchmark and preprint), not production services
  • No commercial pricing or support information disclosed

Key Information

  • Category: Agent Frameworks
  • Type: AI Agent Frameworks Tool
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