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Agent-Reach - Open-source AI Agent tool that fetches internet content with one click

Author: AI小集 · Original source: AI工具集

What is Agent-Reach

Agent-Reach is an open-source and free internet capability scaffold for AI Agents. With a single-sentence instruction, the tool can give Claude Code、Cursor、OpenClaw and other mainstream Agents one-click internet access, supporting content reading and search on 10+ platforms including Twitter, Reddit, YouTube, GitHub, Bilibili, Xiaohongshu, etc., with zero API costs throughout, truly giving AI Agents the eyes to see the entire internet.

Agent-Reach

Main features of Agent-Reach

  • Web page reading: Automatically converts any web page content into Markdown format via Jina Reader for Agents to read.
  • YouTube processing: Uses yt-dlp to extract video subtitles and metadata, supporting multilingual subtitle retrieval.
  • GitHub integration: Reads public repositories, searches projects, and views Issue and PR details via the gh CLI.
  • RSS subscription: Uses feedparser to parse any RSS/Atom feed, enabling automatic information aggregation.
  • Web-wide semantic search: Connects to the Exa semantic search engine via MCP, enabling AI-driven web-wide search without an API Key.
  • Twitter/X access: Enables tweet reading, keyword search, and timeline browsing via Cookie authentication, completely free.
  • Reddit browsing: Supports post search, content reading, and comment viewing, solving the 403 issue caused by anonymous APIs being blocked.
  • Bilibili support: Enables video search and detail retrieval via bili-cli, with basic features usable without login.
  • Xiaohongshu reading: Reuses the browser login state via OpenCLI, enabling note search, reading, and comment viewing.
  • Multi-platform expansion: Also supports access to platforms such as Facebook, Instagram, LinkedIn, V2EX, Xueqiu, and Xiaoyuzhou Podcast.
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How to use Agent-Reach

  • One-click automatic installation (recommended): Copy the instruction 帮我安装 Agent Reach：https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md to your AI Agent, and the Agent will automatically complete CLI installation, system infrastructure configuration, search engine integration, and skill documentation registration.
  • Manual installation: Execute pip install agent-reach, run agent-reach install --env=auto to complete environment configuration.
  • Safe mode installation: Use agent-reach install --env=auto --safe to only list the required dependencies without automatically modifying the system, and install after user confirmation.
  • Diagnostic check: After installation, run agent-reach doctor to check the connectivity status of all channels, the currently used backend routes, and repair suggestions with one click.
  • Platform unlocking: For platforms that require a login state, simply tell the Agent "help me configure XXX", and the Agent will guide you through Cookie or browser login state configuration.
  • Update and uninstall: To update, copy the update link to the Agent; to uninstall, execute agent-reach uninstall to clear all configurations and credentials.

Core advantages of Agent-Reach

  • Zero-cost use: All tools are open source and all APIs are free, with no need to pay the expensive fees of platforms such as Twitter API and Reddit API.
  • One-Click Effortless Installation: No need to manually configure authentication and interfaces for each platform; a single-sentence instruction lets the Agent fully automate all installation and configuration work.
  • Intelligent Routing and Switching: Each platform uses a "primary + backup" multi-backend architecture. When a certain access method fails, it automatically switches with zero user awareness (for example, when a batch of CLIs stopped updating in March 2026, routes were automatically switched).
  • Full Agent Compatibility: Supports Claude Code, OpenClaw, Cursor, Windsurf, Codex, and all AI Agents capable of executing shell commands.
  • Local Privacy and Security: Cookies and Tokens are stored only in the local ~/.agent-reach/config.yaml file, with permissions set to 600, and are neither uploaded nor shared externally.

Agent-Reach project address

  • GitHub repository：https://github.com/Panniantong/Agent-Reach

Comparison of Agent-Reach with similar competitors

Comparison Dimension Agent-Reach BrowserAct
Product Positioning Agent internet capability layer (installer + router) Browser automation operation tool
Core Capability Provides Agents with the ability to "read" (reading content from web pages, social media, and video platforms) Provides Agents with the ability to "operate" (web page clicks, form filling, login verification, and other interactions)
Platform Coverage 10+ platforms (Twitter, Reddit, YouTube, Bilibili, Xiaohongshu, GitHub, etc.) 30+ prebuilt platform skills (general web operations)
Usage Method Directly calls upstream open-source tools through CLI tools to read content Simulates real user operations on web pages through browser automation
Cost Completely free, zero API fees Needs to work with a browser automation framework and may incur additional costs
Configuration Difficulty One-sentence installation, fully automated by the Agent Requires configuring a browser environment and automation scripts
Applicable Scenarios Information research, content aggregation, social media monitoring, web-wide search Operations requiring login, form submission, multi-account isolation, complex web interactions
Complementary Relationship The two are complementary: Agent-Reach handles "reading", BrowserAct handles "operations" Works with Agent-Reach to handle high-friction steps that require hands-on action

Agent-Reach application scenarios

  • Technical Research: Lets the Agent automatically search GitHub open-source projects, read technical documentation, and check Issue discussions to quickly evaluate the feasibility of technical solutions.
  • Competitor Analysis: Instructs the Agent to search for user feedback and product reviews on Twitter, Reddit, and Xiaohongshu, and generate multi-dimensional competitor research reports.
  • Content Monitoring: Subscribes to industry RSS feeds and combines YouTube and Xiaoyuzhou podcasts, letting the Agent automatically track the latest developments in the field and generate summaries.
  • Investment Research: Obtains stock quotes and popular discussions through the Xueqiu platform, assisting the Agent in market sentiment and fundamental analysis.
  • Social Media Operations: Lets the Agent read trending content from multiple platforms (V2EX, Twitter, Bilibili) and automatically generate topic suggestions and content planning proposals.