WebAgent - Ali Tongyi Open Source Autonomous Search AI Agent

What is WebAgent

WebAgent is an open source autonomous search AI Agent from Alibaba Tongyi Labs, with powerful end-to-end autonomous information retrieval and multi-step reasoning capabilities.WebAgent can proactively perceive, make decisions, and take actions in the network environment just like human beings, and it is widely used in multiple scenarios, such as academic research, business decision-making, and personal life. In academic research, WebAgent supports actively searching multiple academic databases, screening and analyzing the most relevant literature, integrating ideas from different literature, and providing researchers with comprehensive and accurate research reports. In the business field, WebAgent integrates market dynamics and industry trends to assist enterprise decision makers in formulating strategies, supporting new product development and market analysis.WebAgent supports complex task processing and multi-language operation, and is based on the core technological framework, WebDancer, and the benchmarking tool, WebWalker, to ensure that the intelligences can perform efficiently in diversified tasks.

Main functions of WebAgent

• Autonomous information retrievalSupport letter in the network environment to actively search for information, covering academic databases, news sites, professional forums and other sources of information to meet the user's needs for knowledge in different fields. Support simultaneous access to Google Scholar, PubMed and other academic databases, automatic screening of highly relevant literature.
• Multi-step reasoning and information integration: Supports the identification of key information in the literature, integrates ideas from different sources based on multi-step reasoning, and ultimately provides users with comprehensive and accurate research reports. Extract key conclusions based on multi-document cross-validation and generate structured research reports (with citation sources and confidence scores).
• Complex task processingWebAgent can handle complex multi-step problems, supporting step-by-step solution from simple factual problems to complex reasoning problems. Split complex tasks into sub-tasks, such as "market analysis" into data crawling, competitor analysis, report generation, and support dynamic adjustment of the order.
• adaptable: Adapt to the format and environmental requirements of multiple information retrieval tasks.
• Enterprise EnhancementsThe DAPO algorithm is based on Dynamic Action Priority Sampling (DAPO), which improves the success rate of complex tasks by 42%. All generated reports are embedded with Perth watermarks and support copyright traceability. 4GB of video memory can run the basic version, and the enterprise version supports 1,000 levels of concurrency.

WebAgent's official website address

• GitHub repository::https://github.com/Alibaba-NLP/WebAgent
• arXiv Technical Paper::https://arxiv.org/pdf/2505.22648

How to use WebAgent

• Get Code: AccessGitHub repositoryDownload the source code.
• Installation of dependencies: Install the required dependency packages and environments according to the instructions in the repository.
• configuration model: Select the appropriate language model (e.g., GPT-4, Claude, Gemini, etc.) to configure.
• running example: Run WebAgent based on the provided sample scripts to experience information retrieval and reasoning capabilities.
• integrated application: Integrate WebAgent into applications or workflows to realize automated information processing according to actual needs.

Core Benefits of WebAgent

• Powerful autonomous search capabilities: Simultaneous access to multiple academic databases, news sites and specialized forums, automatic screening of highly relevant literature, saving time and effort.
• Efficient multi-step reasoning and information integration: Integrate perspectives from different sources based on multi-step reasoning to generate comprehensive and accurate research reports that provide structured output.
• Complex task processing capability: Splitting complex tasks into multiple subtasks, dynamically adjusting the task order, and significantly improving the task success rate with the DAPO algorithm.
• Highly adaptable: Adapt to the format and environmental requirements of a variety of information retrieval tasks, support multi-language operation, widely used in a variety of fields.
• Enterprise Enhancements: 4GB of video memory to run the basic version, the enterprise version supports 1,000 levels of concurrency, and embedded watermarks to protect copyrights and ensure stability and intellectual property protection under high loads.
• user friendlinessOne-click to generate high-quality slides or reports, export to PPTX format for secondary editing, simple and easy-to-use interface, no need for complex technical background.

Who WebAgent is for

• Researchers and scholars: Rapidly access and analyze large amounts of academic literature for cutting-edge research and paper writing.
• Corporate decision makers: Conduct market analysis, industry trends and competitor information to develop strategies and make business decisions.
• journalist: Rapidly collect and integrate news material from multiple sources to improve the accuracy and timeliness of news coverage.
• Educators and students: Provide rich learning resources and teaching aids to support personalized learning and curriculum design.
• financial analyst: Integrate financial market data for investment analysis and risk assessment.