@realfxw: The biggest headache when building an Agent isn't usually the model logic, but getting it online to 'fetch data'—anti-crawling, login authentication, rate limiting; it often gets stuck at the API level. Recommend checking out the open-source project Agent-Reach, which is like equipping your AI Agent with a full-web 'data collection exoskeleton': Integrates mature ecosystems:…

The biggest headache when working on an Agent is often not the model logic, but getting it online to 'fetch data'—anti-crawling, login authentication, rate limiting; it often gets stuck at the API interfaces. Recommend paying attention to the open-source project Agent-Reach, which is like directly equipping your AI Agent with a full-web 'data collection exoskeleton': Integrates mature ecosystems: Packages proven tools like yt-dlp, twitter-cli, xhs-cli, eliminating the need to repeatedly hand-code crawlers. Handles high-walled platforms: Covers difficult content sources like YouTube, X, Xiaohongshu, WeChat Official Accounts, Bilibili, Weibo, Reddit, and V2EX. Seamlessly empowers Agents: Solves the pain points of frameworks like Claude Code and OpenClaw getting stuck on API and subscription limits when fetching data. Previously, humans had to manually find and feed data to AI; now we're truly moving towards autonomous AI data collection. Friends doing automated topic selection, competitive tracking, or industry sentiment monitoring should give it a try. When you're running an Agent to scrape data, which platform's anti-crawling measures trouble you the most? 👇 https://github.com/Panniantong/Agent-Reach…