Agent Reach — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Agent Reach. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 2, 2026 • Sentiment updated: Mar 17, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The Agent-Reach project seems to be a popular and actively maintained tool for automating tasks using AI and machine learning. It has a wide range of features, including web scraping, Twitter and Reddit scraping, and YouTube transcript generation.

Why Agent Reach Stands Out

Agent Reach is different from other web scraping and data extraction tools because it provides a unified interface for searching and extracting data from multiple platforms, including social media, academic sources, and e-commerce websites. Its flexible framework and modular architecture make it easy to build custom agents and integrate them with other tools and services. By using Agent Reach, users can save time and effort by automating data extraction and processing tasks, and focus on higher-level tasks such as data analysis and decision-making.

Built With

Build an AI-powered social media monitoring tool that tracks brand mentions across Twitter, Reddit, and YouTube — Agent Reach provides a unified interface for searching and extracting data from these platforms, Build a research assistant that summarizes the latest research papers on a given topic — Agent Reach can be used to scrape and analyze data from academic sources such as arXiv and PubMed, Build a web scraping bot that extracts data from e-commerce websites — Agent Reach provides a flexible framework for building custom web scraping agents, Build a chatbot that can answer questions about a specific topic by searching the internet — Agent Reach can be used to build a knowledge graph and answer questions based on that graph, Build a data ingestion pipeline that collects data from multiple sources and stores it in a database — Agent Reach provides a scalable and flexible framework for building data pipelines

Getting Started

  1. Install Agent Reach by running the command `https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md`
  2. Configure the agent by running the command `agent-reach config` and following the prompts
  3. Add a new platform to the agent by running the command `agent-reach add-platform` and selecting the platform you want to add
  4. Test the agent by running the command `agent-reach test` and verifying that it can extract data from the platforms you have configured
  5. Try searching for a specific topic on Twitter to verify that the agent is working correctly

About

Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.

Category & Tags

Category: social

Tags: agent-infrastructure, ai-agent, ai-search, automation, bilibili, claude-code, cli, cursor, free-api, llm-tools, mcp, python, reddit-scraper, twitter-scraper, web-scraper, xiaohongshu, youtube-transcript

Market Context

The project appears to be targeting developers and researchers interested in building AI-powered automation tools, particularly those working with social media and web data.