Agent Reach

Overview

Agent Reach is a capability layer for AI agents, not a specific scraping tool. It selects, installs, diagnoses, and routes currently available backends for platforms so agents can read and search web pages, YouTube, RSS, GitHub, Twitter/X, Bilibili, Reddit, Xiaohongshu, and other channels; actual reading is done by the agent calling upstream tools directly, without an extra wrapper layer.

Key Features

• It provides one CLI to connect an AI agent to multiple internet platforms including web, YouTube, RSS, GitHub, Twitter/X, Bilibili, Reddit, Xiaohongshu, LinkedIn, V2EX, and Xueqiu. Each platform uses an ordered preferred-plus-fallback backend list, so a failed route can be

Use Cases

• Letting an agent read web pages, YouTube subtitles, and RSS content for summaries; searching discussions and sentiment on Twitter/X, Reddit, Bilibili, and Xiaohongshu; viewing GitHub repositories and issues or running semantic web search and LLM framework comparisons;

Getting Started

• Send your AI agent the request to install Agent Reach and attach the project's docs/install.md installation document. If already installed, send the request to update Agent Reach with the project's docs/update.md update document. Before installing on OpenClaw, enable exec

Deployment & Requirements

• The project lists Python 3.10+ support. The installation flow checks Node.js, gh CLI, and mcporter, and gives install guidance for missing items. By default installation only checks the environment and does not install system packages or write configuration; only explicit

Before You Adopt

• License: MIT. Review its terms before using, modifying, or distributing the project.