Agent-Reach: Giving AI Agents a Pair of Eyes Over the Entire Internet

One-Sentence Summary

A single command lets an AI Agent search and read 10+ platforms including Twitter, Reddit, YouTube, Bilibili, and Xiaohongshu, with no API Key required, using pure web scraping.

Core Concept

Agent-Reach solves the "information silo" problem of AI Agents. Although an LLM has training data of its own, it cannot obtain:

Real-time discussions on social media
User-generated content on specific platforms
Unstructured internet information

Through a headless browser + RSS feeds + public APIs, Agent-Reach lets an Agent directly "see" the internet.

Supported Platforms (10+)

Platform	Method	API Required?
X / Twitter	Search tweets, read user timelines	❌ Free
Reddit	Search subreddits, read posts + comments	❌ Free JSON API
YouTube	Search videos, read subtitles	❌ yt-dlp
Bilibili	Search videos, read danmaku comments	❌ Free
Xiaohongshu (RED)	Search notes	❌ Free
Hacker News	Search posts + comments	❌ Firebase API
GitHub	Search Issues / PRs	❌ Public
arXiv	Paper search	❌ Free API
Wikipedia	Encyclopedia search	❌ Free API
General web pages	Fetch and read any URL	❌ Free

Installation and Usage

pip install agent-reach

Python API

from agent_reach import search

# Search X/Twitter
results = search("AI agent security", platforms=["x"])

# Multi-Platform Parallel Search
results = search("Bitcoin", platforms=["x", "reddit", "bilibili", "xiaohongshu"])

CLI

agent-reach search "DeepSeek V4" --platforms x,reddit,hn

Technical Architecture

User Query → Platform Router → Parallel Fetching
                ├── X: Nitter/RSS Mirror
                ├── Reddit: JSON API (.json)
├── YouTube: yt-dlp subtitles
                ├── Bilibili: API + headless browser
                ├── Xiaohongshu: headless browser
                └── Others: feedparser / requests

Differences from last30days-skill

Dimension	Agent-Reach	last30days-skill
Positioning	General-purpose web search tool	Cross-platform deep research engine
Output	Raw search results	AI-synthesized summary + scores
Number of platforms	10+	14+
Scoring mechanism	None	Ranked by community engagement
Installation	pip install	clawhub / npx skills
Best for	Agent tool invocation	Proactive user research

💡 The two are complementary: Agent-Reach serves as the Agent's tool layer, while last30days-skill serves as the user's research entry point.

Value to Us

Scenario	Application
Hong Kong stock research	Search Chinese-language discussions about listed companies on Xiaohongshu / Bilibili
Public sentiment monitoring	Automated multi-platform searches for brand / company names
Competitors	Monitor competitors' activity on social media

Tech stack: Python · feedparser · yt-dlp · loguru · rich License: MIT | Repo: Panniantong/agent-reach