Agent-Reach - An open-source AI agent tool that can retrieve internet content with a single click. - AiBoss

What is Agent-Reach?

Agent-Reach is a free and open-source scaffolding tool for building internet capabilities for AI agents. With a single command, the tool can install internet connectivity for mainstream agents such as Claude Code, Cursor, and OpenClaw with a single click. It supports content reading and searching on 10+ platforms including Twitter, Reddit, YouTube, GitHub, Bilibili, and Xiaohongshu, all at zero API cost, giving AI agents truly the eyes to see the entire internet.

Main functions of Agent-Reach

Webpage readingJina Reader automatically converts any webpage content into Markdown format for the Agent to read.
YouTube processingUse yt-dlp to extract video subtitles and metadata, supporting multi-language subtitle acquisition.
GitHub integrationUse gh CLI to read public repositories, search for projects, and view issue and PR details.
RSS SubscriptionUse feedparser to parse any RSS/Atom source to achieve automatic information aggregation.
Full-network semantic searchBy connecting to the Exa semantic search engine via MCP, AI-driven full-web search can be performed without an API key.
Twitter/X accessIt enables tweet reading, keyword search, and timeline browsing via cookie authentication, and is completely free.
Reddit browsingSupports post searching, content reading, and comment viewing, and resolves the 403 error caused by the anonymous API being blocked.
Bilibili supportsThis feature enables video search and detail retrieval via bili-cli, allowing users to access basic functions without logging in.
Xiaohongshu readingThis feature enables users to search, read, and view comments on notes by reusing browser login states via OpenCLI.
Multi-platform expansionIt also supports integration with platforms such as Facebook, Instagram, LinkedIn, V2EX, Xueqiu, and Xiaoyuzhou Podcast.

How to use Agent-Reach

One-click automatic installation (recommended)Copy command 帮我安装 Agent Reach：https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md Give your AI Agent, and it will automatically complete CLI installation, system infrastructure configuration, search engine integration, and skill document registration.
Manual installation:implement pip install agent-reach,run agent-reach install --env=auto Complete environment configuration.
Install in safe mode:use agent-reach install --env=auto --safe Only the required dependencies are listed; the system is not modified automatically. Installation requires user confirmation.
Diagnostic testingRun after installation agent-reach doctor One-click detection of connectivity status for all channels, currently used backend routes, and repair suggestions.
Platform unlockFor platforms that require login status, simply tell the Agent "Configure XXX for me", and the Agent will guide you through configuring the cookie or browser login status.
Updates and uninstallation: Simply copy the update link and send it to the Agent; : Uninstall and execute. agent-reach uninstall Clear all configurations and credentials.

The core advantages of Agent-Reach

Zero cost to useAll tools are open source and all APIs are free, eliminating the need to pay expensive fees for platforms like Twitter API and Reddit API.
One-click seamless installationNo need to manually configure authentication and interfaces for each platform; a single command allows the Agent to automatically complete all installation and configuration tasks.
Intelligent routing switchingEach platform adopts a "preferred + alternative" multi-backend architecture, which automatically switches when a certain access method fails, so that users are unaware of it (e.g., when a batch of CLI updates were discontinued in March 2026, the routing was automatically switched).
Full Agent CompatibilitySupports all AI agents capable of executing shell commands, including Claude Code, OpenClaw, Cursor, Windsurf, and Codex.
Local privacy and securityCookies and tokens are stored locally only. ~/.agent-reach/config.yaml The file is set to permissions 600, meaning it cannot be uploaded or shared externally.

Agent-Reach project address

GitHub repositoryhttps://github.com/Panniantong/Agent-Reach

Comparison of Agent-Reach with similar competitors

Comparison Dimensions	Agent-Reach	BrowserAct
Product Positioning	Agent Internet Capability Layer (Installer + Router)	Browser automation tools
Core Competencies	Provide the Agent with the ability to "read" (content from web pages, social media, and video platforms).	Provide the Agent with the ability to "operate" (web page clicks, form filling, login verification, and other interactions).
Coverage Platform	10+ platforms (Twitter, Reddit, YouTube, Bilibili, Xiaohongshu, GitHub, etc.)	30+ prefabricated platform skills (general web page operation)
How to use	Read content by directly calling upstream open-source tools via CLI tool.	Automated simulation of real user interactions on web pages via browser
cost	Completely free, zero API fee	It requires the use of a browser automation framework, which may incur additional costs.
Configuration difficulty	Installation is completed automatically with just one line of code.	Browser environment and automation scripts need to be configured.
Applicable Scenarios	Information research, content aggregation, social media monitoring, and full-network search	Requires login to operate, form submission, multi-account isolation, and complex web page interactions.
complementary relationship	The two complement each other: Agent-Reach solves the "read" problem, while BrowserAct solves the "operation" problem.	In conjunction with Agent-Reach, handle high-friction processes that require manual intervention.

Application scenarios of Agent-Reach

Technical researchThe Agent can automatically search for open-source projects on GitHub, read technical documentation, and view issue discussions to quickly assess the feasibility of technical solutions.
Competitive analysisThe command Agent searches user feedback and product reviews on Twitter, Reddit, and Xiaohongshu to generate a multi-dimensional competitive research report.
Content monitoringSubscribe to industry RSS feeds, and combine them with YouTube and the Little Universe podcast to allow the Agent to automatically track the latest developments in the field and generate summaries.
Investment Research: Obtain stock quotes and trending discussions through the Xueqiu platform to assist Agents in conducting market sentiment and fundamental analysis.
Social Media OperationsThe Agent reads trending content from multiple platforms (V2EX, Twitter, Bilibili) and automatically generates topic suggestions and content planning schemes.