Guide: Build a Multi-Agent Web Research System Using AG2 and Zenrows

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A technical guide published on the Zenrows blog explains how to build a multi-agent web research pipeline using the AG2 framework (v0.12.2) and Zenrows Fetch as a live content retrieval tool. The system comprises four agents — a user proxy, researcher, analyst, and critic — each assigned a distinct role in fetching, summarizing, structuring, and validating web data. Developers require Python 3.10 or later, an OpenAI API key, and a Zenrows API key to set up and run the pipeline. The guide highlights a key limitation: without a registered tool like Zenrows Fetch, the researcher agent cannot access URLs and its failure message propagates through the shared agent history. All source code for the project is available on GitHub.

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