@xiaojianjian567: 21,637 stars, written in Python. A scaffold that lets AI agents read Twitter, Reddit, YouTube, Bilibili, Xiaohongshu, with zero API fees. (Hermes is installed on my end) It solves the long-standing problem of AI agents not being able to access the internet...

X AI KOLs Timeline Tools

Summary

Agent Reach is an open-source Python scaffold that allows AI agents to read multiple platforms such as Twitter, Reddit, YouTube, Bilibili, and Xiaohongshu with zero API fees, solving the problem of agents being unable to access the internet.

21,637 stars, written in Python. A scaffold that lets AI agents read Twitter, Reddit, YouTube, Bilibili, Xiaohongshu, with zero API fees. (Hermes is installed on my end) It solves the long-standing problem of AI agents not being able to access the internet. Every platform has its own wall: paid APIs, IP blocks, cookie authentication. Agent Reach turns this whole set into a one-line installation. Once installed, the agent knows which upstream tool to call. Wide platform coverage. Web pages, YouTube, RSS, and full-web search work out of the box. Twitter, Reddit, Bilibili, Xiaohongshu, Douyin, Weibo, Xueqiu, LinkedIn, WeChat Official Accounts require a bit of configuration, but the process is unified: tell the agent "Help me configure XXX", and it will walk you through step by step—no need to dig through documentation yourself. For GitHub, reading public repositories requires no configuration; for private repos and posting issues/PRs, just tell the agent to log in. Installation is a one-liner. Copy this and give it to your agent: "Help me install Agent Reach: https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md…", it handles the rest. Updating is also one line. After installation, run `agent-reach doctor` to see at a glance which channels are working. The design philosophy is lightweight. Agent Reach is a scaffold, not a framework. Behind each platform is an independent upstream tool (yt-dlp, twitter-cli, rdt-cli, gh CLI, etc.). You can swap them out anytime if they don't work well. Cookies are stored locally and never uploaded; code is fully open-source. It relies on the agent executing shell commands and works with Claude Code, Cursor, Windsurf. Polo's take: 1. The core is to give the agent "eyes." Jina Reader for web pages, yt-dlp for subtitles, Exa for semantic search—all community-tested wheels, assembled into an out-of-the-box solution, no reinventing. 2. It covers corners that overseas tools often ignore: WeChat Official Accounts, Xiaohongshu, Weibo, Xueqiu, Bilibili. On local machines, no proxy needed; only servers require one. 3. The author is actively maintaining it. The topics include claude-code, cursor, mcp, clearly positioning it for AI coding agents. If you use Claude Code or Cursor, this is worth installing. https://github.com/Panniantong/Agent-Reach…
Original Article
View Cached Full Text

Cached at: 06/08/26, 03:15 AM

21,637 stars, written in Python. A scaffolding that lets AI agents read Twitter, Reddit, YouTube, Bilibili, Xiaohongshu, with zero API fees. (I’ve installed hermes)

It solves the age-old problem of AI agents not being able to access the internet. Each platform has its own wall — paid APIs, IP blocks, cookie authentication. Agent Reach turns all of that into a one-liner install; once the agent is set up, it automatically knows which upstream tool to call.

Broad platform coverage. Web, YouTube, RSS, and full-web search work out of the box. Twitter, Reddit, Bilibili, Xiaohongshu, Douyin, Weibo, Xueqiu, LinkedIn, WeChat Official Accounts require some configuration, but the process is consistent — just tell the agent “Help me configure XXX” and it will walk you through step by step, no need to dig through docs yourself. GitHub: reading public repos needs no config; for private repos and creating Issues/PRs, just tell the agent to log in.

Installation is a one-liner. Copy this and give it to the agent: “帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md…”, and it handles the rest. Updating is also a one-liner. After installation, run agent-reach doctor and you can see at a glance which channels are working.

The design philosophy is lightweight. Agent Reach is a scaffolding, not a framework. Each platform is backed by an independent upstream tool (yt-dlp, twitter-cli, rdt-cli, gh CLI, etc.), so you can swap them out whenever you want. Cookies are stored locally and never uploaded; all code is open source. It relies on the agent executing shell commands, so it works with Claude Code, Cursor, Windsurf, etc.

Polo’s opinion

  1. The core idea is to give the agent eyes. Jina Reader for web pages, yt-dlp for subtitles, Exa for semantic search — all are wheels already trodden by the community, assembled into an out-of-the-box solution without reinventing anything.

  2. It covers corners that overseas tools tend to ignore: WeChat Official Accounts, Xiaohongshu, Weibo, Xueqiu, Bilibili. Local machines don’t need a proxy; only servers need one.

  3. The author is actively maintaining it. The topics field includes claude-code, cursor, mcp, so the positioning is clearly for AI coding agents. If you use Claude Code or Cursor, this is worth installing. https://github.com/Panniantong/Agent-Reach…


Source: https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md

Agent Reach — Installation Guide ## For Humans Copy this to your AI Agent: 帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md > 🛡️ Security-conscious? Use safe mode — it won’t auto-install system packages: > > 帮我安装 Agent Reach(安全模式):https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md > 安装时使用 --safe 参数 > — ## For AI Agents ### Goal Install Agent Reach and all upstream tools so your user’s agent has full internet access. After installation, you’ll use the upstream tools directly (twitter-cli, rdt-cli, xhs-cli, yt-dlp, mcporter, gh CLI, etc.) — Agent Reach is just the installer and health checker. ### ⚠️ Boundaries When fixing issues, stay within these limits: - DO NOT run commands with sudo unless the user explicitly approved - DO NOT modify system files outside ~/.agent-reach/ - DO NOT install packages not listed in this guide - DO NOT disable firewalls, security settings, or system protections - DO NOT clone repos, create files, or run commands inside the agent workspace / working directory - If something requires elevated permissions, tell the user what’s needed and let them decide ### 📁 Directory Rules All Agent Reach files go in dedicated directories — never in the agent workspace: | Purpose | Directory | Example | |———|———–|———| | Config & tokens | ~/.agent-reach/ | ~/.agent-reach/config.json | | Upstream tool repos | ~/.agent-reach/tools/ | ~/.agent-reach/tools/douyin-mcp-server/ | | Temporary files | /tmp/ | /tmp/yt-dlp-output/ | | Skills | ~/.openclaw/skills/agent-reach/ | SKILL.md | Why? If you clone repos or create files in the workspace, it pollutes the user’s project directory and can break their agent over time. Keep the workspace clean. ### Step 1: Install the basics bash # Recommended:pipx (most hassle-free) pipx install https://github.com/Panniantong/agent-reach/archive/main.zip agent-reach install --env=auto # If your Python is from Homebrew / you encounter PEP 668 (externally-managed-environment) # Install using a virtual environment: python3 -m venv ~/.agent-reach-venv source ~/.agent-reach-venv/bin/activate pip install https://github.com/Panniantong/agent-reach/archive/main.zip agent-reach install --env=auto This installs core infrastructure (gh CLI, Node.js, mcporter, Exa search, yt-dlp config) and activates these zero-config channels: - Web (Jina Reader), YouTube, GitHub, RSS, Exa Search, V2EX, Bilibili (basic) > 💡 macOS / Homebrew Python shows externally-managed-environment? > This is PEP 668 protection, not an Agent Reach issue. Prefer pipx install ..., or create a venv first and then install. Safe mode / Dry run: bash agent-reach install --env=auto --safe # Check only, no auto-install agent-reach install --env=auto --dry-run # Preview what would be done ### Step 2: Ask the user which optional channels they want After installing the basics, ask the user which additional channels they need. Present this list: > 基础渠道装好了!你现在可以让我搜网页、看 YouTube、读 GitHub 等。 > > 还有这些可选渠道,你需要哪些? > > - 🐦 Twitter/X — 搜推文、看时间线(需要登录 Cookie) > - 📰 微博 — 热搜、搜索、用户动态 > - 💬 微信公众号 — 搜索和阅读公众号文章 > - 📈 雪球 — 股票行情、热门帖子(需要登录 Cookie) > - 🎙️ 小宇宙播客 — 音频转文字(需要免费 Groq Key) > - 📕 小红书 — 阅读、搜索、发帖(需要登录) > - 📖 Reddit — 搜索和阅读帖子 > - 📺 B站完整版 — 热门、排行、搜索 > - 🎵 抖音 — 视频解析 > - 💼 LinkedIn — Profile、职位搜索 > > 告诉我你要哪些,比如“帮我装微博和 Twitter“。或者说“全部装“。 Based on the user’s choice, run: bash agent-reach install --env=auto --channels=twitter,weibo # Example: user chose Twitter + Weibo agent-reach install --env=auto --channels=all # User wants everything Supported channel names: twitter, weibo, wechat, xiaoyuzhou, xueqiu, xiaohongshu, reddit, bilibili, douyin, linkedin, all ### Step 3: Fix what’s broken Run agent-reach doctor and check the output. Try to get as many channels to ✅ as possible. If something failed during install or shows as ❌/⚠️ in doctor, diagnose the problem and try to fix it — but stay within the boundaries above. If a fix requires elevated permissions or system changes, ask the user first. Only ask the user when you genuinely need their input (credentials, permissions, etc.). ### Step 3: Configure things that need user input Some channels need credentials only the user can provide. Based on the doctor output, ask for what’s missing: > 🔒 Security tip: For platforms that need cookies (Twitter, XiaoHongShu), we recommend using a dedicated/secondary account rather than your main account. Cookie-based auth carries two risks: > 1. Account ban — platforms may detect non-browser API calls and restrict or ban the account > 2. Credential exposure — cookies grant full account access; using a secondary account limits the blast radius if credentials are ever compromised > 🍪 Cookie 导入(所有需要登录的平台通用): > > 所有需要 Cookie 的平台(Twitter、小红书、雪球等),优先使用 Cookie-Editor 导入,这是最简单最可靠的方式: > 1. 用户在自己的浏览器上登录对应平台 > 2. 安装 Cookie-Editor Chrome 插件 > 3. 点击插件 → Export → Header String > 4. 把导出的字符串发给 Agent > > 本地电脑用户也可以用 agent-reach configure --from-browser chrome 一键自动提取(支持 Twitter + 小红书 + 雪球)。 Twitter search & posting: > “To unlock Twitter search, I need your Twitter cookies. Install the Cookie-Editor Chrome extension, go to x.com/twitter.com, click the extension → Export → Header String, and paste it to me.” bash agent-reach configure twitter-cookies "PASTED_STRING" > 代理说明(中国大陆等需要翻墙的网络环境): > > twitter-cli 和 rdt-cli 使用 Python,在需要代理的网络环境下可通过环境变量配置代理。 > > 你(Agent)需要做的: > 1. 确认用户配了代理:agent-reach configure proxy http://user:pass@ip:port > 2. 设置环境变量:export HTTP_PROXY="..." HTTPS_PROXY="..." > 3. Agent Reach 会自动处理剩下的,不需要用户做额外操作 > > 如果用户报告 “fetch failed”,参考 troubleshooting.md Reddit & Bilibili full access (server users): > “Reddit and Bilibili block server IPs. To unlock full access, I need a residential proxy. You can get one at https://webshare.io (1/month). Send me the proxy address." ```bash agent-reach configure proxy http://user:pass@ip:port ``` **XiaoHongShu / 小红书 (xhs-cli):** > "小红书通过 xhs-cli 访问,pipx 一行安装,不需要 Docker。" ```bash pipx install xiaohongshu-cli xhs login ``` > `xhs login` 会自动从浏览器提取 Cookie。如果自动提取失败,可以手动导入: > > **手动导入 Cookie(Cookie-Editor 方式):** > 1. 用户在自己的浏览器登录小红书 (xiaohongshu.com) > 2. 用 [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) 插件导出 Cookie(JSON 或 Header String 格式均可) > 3. 把 Cookie 字符串发给 Agent > 4. Agent 运行命令完成登录: > > ```bash > # JSON 格式(Cookie-Editor → Export → JSON) > agent-reach configure xhs-cookies '[{"name":"web_session","value":"xxx","domain":".xiaohongshu.com",...}]' > > # 或 Header String 格式(Cookie-Editor → Export → Header String) > agent-reach configure xhs-cookies "key1=val1; key2=val2; ..." > ``` > > **注意:** 推荐使用 Cookie-Editor 导出方式,不要依赖 QR 扫码登录。 > > **备选方案:Docker MCP** > 如果你已经在使用 [xiaohongshu-mcp](https://github.com/xpzouying/xiaohongshu-mcp) Docker 方案,它也能正常工作: > ```bash > docker run -d --name xiaohongshu-mcp -p 18060:18060 xpzouying/xiaohongshu-mcp > mcporter config add xiaohongshu http://localhost:18060/mcp > ``` **微博 / Weibo (mcp-server-weibo):** > "微博已默认安装,装好即用。可搜索微博内容、查看热搜、获取用户动态和评论。" 如果自动安装失败,手动安装: ```bash pip install git+https://github.com/Panniantong/mcp-server-weibo.git mcporter config add weibo --command 'mcp-server-weibo' ``` > 无需登录、无需 Cookie、无需代理。海外服务器也可以直接访问。 **雪球 / Xueqiu (股票行情 + 热门帖子):** > "雪球需要登录后的 Cookie。请先在 Chrome 里登录 xueqiu.com,然后运行:" ```bash agent-reach configure --from-browser chrome ``` > Cookie 会随其他平台一起自动提取。 **小宇宙播客 / Xiaoyuzhou Podcast (Groq Whisper):** > "小宇宙播客转文字已默认安装,只需要一个免费的 Groq API Key。" 脚本已随 Agent Reach 自动安装,用户只需提供 Key: ```bash agent-reach configure groq-key gsk_xxxxx ``` > **获取 Groq API Key(免费、无需信用卡、30 秒搞定):** > 1. 打开 https://console.groq.com > 2. 用 Google/GitHub 账号登录(或注册) > 3. 左侧菜单 → API Keys → Create API Key > 4. 复制 Key(以 `gsk_` 开头),发给 Agent 即可 > > **使用方式:** > 用户发一个小宇宙链接给 Agent,Agent 自动调用: > ```bash > bash ~/.agent-reach/tools/xiaoyuzhou/transcribe.sh https://www.xiaoyuzhoufm.com/episode/xxxxx > ``` > > 自动下载音频 → 转码切片 → Groq Whisper 转录 → 输出完整中文文字稿。 > > **免费额度和限制:** > - 每小时约 2 小时音频(7200 秒),超出后等 15 分钟自动恢复 > - 日常听几期播客完全够用 > - 转录质量高(Whisper large-v3),但不区分说话人 > - 2 小时以上的播客建议分批处理 **抖音 / Douyin (douyin-mcp-server):** > "抖音视频解析需要一个 MCP 服务。安装 douyin-mcp-server 后即可解析视频、获取无水印下载链接。" ```bash # 1. 安装 pip install douyin-mcp-server # 2. 启动 HTTP 服务(端口 18070) # 方式一:用 uv(推荐) mkdir -p ~/.agent-reach/tools && cd ~/.agent-reach/tools git clone https://github.com/yzfly/douyin-mcp-server.git && cd douyin-mcp-server uv sync && uv run python run_http.py # 方式二:直接用 Python 启动 python -c " from douyin_mcp_server.server import mcp mcp.settings.host = '127.0.0.1' mcp.settings.port = 18070 mcp.run(transport='streamable-http') " # 3. 注册到 mcporter mcporter config add douyin http://localhost:18070/mcp ``` > 无需认证即可解析视频信息和获取下载链接。 > 如需 AI 语音识别提取文案功能,需要配置硅基流动 API Key(`export API_KEY="sk-xxx"`)。 > > 详见 https://github.com/yzfly/douyin-mcp-server **可选实现:Douyin + XiaoHongShu unified extractor** > "如果你想把抖音和小红书统一成一个 MCP,并直接输出 `script.md` 和 `info.json`,可以改用 social-post-extractor-mcp。" 适用场景: - 抖音视频转文字稿 - 小红书视频笔记转文字稿 - 小红书图文笔记正文 + 图片文字提取 兼容性: - 仍然可以注册成 `douyin` 这个 mcporter server 名称 - 兼容旧工具名 `parse_douyin_video_info` / `get_douyin_download_link` / `extract_douyin_text` - 同时新增 `parse_social_post_info` / `extract_social_post_script` 示例配置: ```bash git clone https://github.com/JNHFlow21/social-post-extractor-mcp.git cd social-post-extractor-mcp uv sync mcporter config add douyin \ --command /bin/zsh \ --arg -lc \ --arg "cd 'PWD’ && exec ‘.venv/bin/python’ -m social_post_extractor_mcp” \ –env ASR_PROVIDER=bailian \ –env ASR_MODEL=paraformer-v2 \ –env VISION_PROVIDER=bailian \ –env VISION_MODEL=qwen3-vl-flash \ –env CLEAN_PROVIDER=bailian \ –env CLEAN_MODEL=qwen-flash \ –env BAILIAN_API_KEY=YOUR_BAILIAN_API_KEY > 这个实现更适合"把链接直接交给 Agent,然后拿到脚本文件"的工作流。 > > 详见 https://github.com/JNHFlow21/social-post-extractor-mcp **LinkedIn (可选 — linkedin-scraper-mcp):** > "LinkedIn 基本内容可通过 Jina Reader 读取。完整功能(Profile 详情、职位搜索)需要 linkedin-scraper-mcp。"bash pip install linkedin-scraper-mcp > **登录方式(需要浏览器界面):** > > linkedin-scraper-mcp 使用 Chromium 浏览器登录,需要你能看到浏览器窗口。 > > - **本地电脑(有桌面):** 直接运行: >bash > linkedin-scraper-mcp –login –no-headless > > 浏览器会弹出来,手动登录 LinkedIn 即可。 > > - **服务器(无 UI):** 需要通过 VNC 远程桌面操作: >bash > # 1. 服务器上安装并启动 VNC(如已有可跳过) > apt install -y tigervnc-standalone-server > vncserver :1 -geometry 1280x720 > > # 2. 用 VNC 客户端连接 服务器IP:5901 > > # 3. 在 VNC 桌面的终端里运行: > export DISPLAY=:1 > linkedin-scraper-mcp –login –no-headless > > 在 VNC 里看到浏览器后手动登录。登录成功后 session 会保存到 `~/.linkedin-mcp/profile/`。 > > **登录后启动 MCP 服务:** >bash > linkedin-scraper-mcp –transport streamable-http –port 8001 > mcporter config add linkedin http://localhost:8001/mcp > > > 详见 https://github.com/stickerdaniel/linkedin-mcp-server ### Step 4: Final check Run `agent-reach doctor` one final time and report the results to your user. ### Step 5: Set up daily monitoring (OpenClaw only) If you are running inside **OpenClaw**, ask your user: > "Agent Reach 安装好了。要不要我设一个每天自动检查的任务?它会帮你盯着这些渠道是否正常、有没有新版本。有问题才会通知你,没问题不打扰。" If the user agrees, create a **cron job** (daily, `sessionTarget: "isolated"`, `delivery: "announce"`) with this task: 运行 agent-reach watch 命令。 如果输出包含“全部正常“,不需要通知用户,静默结束。 如果输出包含问题(❌ ⚠️)或新版本(🆕),把完整报告发给用户,并建议修复方案。 如果有新版本可用,问用户是否要升级(升级命令:pip install –upgrade https://github.com/Panniantong/agent-reach/archive/main.zip)。 ``` If the user wants a different agent to handle it, let them choose. — ## Quick Reference | Command | What it does | |———|———––| | agent-reach install --env=auto | Install core channels (lightweight, zero-config) | | agent-reach install --env=auto --channels=twitter,weibo | Install core + optional channels | | agent-reach install --env=auto --channels=all | Install everything | | agent-reach install --env=auto --safe | Safe setup (no auto system changes) | | agent-reach install --env=auto --dry-run | Preview what would be done | | agent-reach doctor | Show channel status | | agent-reach watch | Quick health + update check (for scheduled tasks) | | agent-reach check-update | Check for new versions | | agent-reach configure twitter-cookies "..." | Unlock Twitter search + posting | | agent-reach configure proxy URL | Unlock Reddit + Bilibili on servers | | agent-reach configure groq-key gsk_xxx | Unlock Xiaoyuzhou podcast transcription | After installation, use upstream tools directly. See SKILL.md for the full command reference: | Platform | Upstream Tool | Example | |–––––|–––––––|———| | Twitter/X | twitter | twitter search "query" -n 10 | | YouTube | yt-dlp | yt-dlp --dump-json URL | | Bilibili | yt-dlp + bili | bili hot / bili search "query" --type video | | Reddit | rdt | rdt search "query" / rdt read POST_ID | | GitHub | gh | gh search repos "query" | | Web | curl + Jina | curl -s "https://r.jina.ai/URL" | | Exa Search | mcporter | mcporter call 'exa.web_search_exa(...)' | | 小红书 | mcporter | mcporter call 'xiaohongshu.search_feeds(...)' | | 微博 | mcporter | mcporter call 'weibo.get_trendings(limit: 10)' | | 小宇宙播客 | transcribe.sh | bash ~/.agent-reach/tools/xiaoyuzhou/transcribe.sh | | 抖音 | mcporter | `mcporter call ’douyin

Similar Articles

@Xudong07452910: Open-Source Search Tool Recommendation: "Agent Reach" — Give Your AI Agent Eyes Across 15 Platforms, Completely Free. Agent Reach Solves a Very Practical Problem: Your AI Agent Wants to Search Information on Twitter/Reddit/YouTube/G…

X AI KOLs Timeline

Agent Reach is an open-source command-line tool that provides a unified free interface for AI Agents, covering deep search capabilities across 15+ platforms including Twitter, Reddit, and YouTube, with no API fees required. It has already gained 21.7k+ stars.

@iluciddreaming: AI Agent can now read your WeChat. Two tools, 10 minutes to install: 1. Agent Reach: search official accounts and bypass anti-scraping to read full articles 2. wx-cli: read all WeChat messages locally, no internet required, no account ban. What can you do after installation? Auto-summarize group messages, collect official account materials, AI helps you keep producing content…

X AI KOLs Timeline

Introducing two tools (Agent Reach and wx-cli) that allow AI Agent to read WeChat messages and official account content, enabling automatic group message summarization, material collection, and more. Installation takes only 10 minutes.

Panniantong/Agent-Reach

GitHub Trending (daily)

Agent-Reach 是一个开源工具,让 AI agent 能一键访问网页、社交媒体和视频平台,无需复杂配置。

@FakeMaidenMaker: A lightweight personal AI agent that is small yet highly readable. Existing agent frameworks wrap the core loop in a black box; changing one detail means peeling through layers of abstraction, making even reading a chore, let alone secondary development. I'm recommending an ultra-lightweight open-source AI agent — nanobot. Designed for those who 'want to read and understand…'

X AI KOLs Timeline

Introducing the open-source ultra-lightweight AI agent nanobot. Its core loop is designed to be minimal and readable, making secondary development easy. It supports 10+ chat platforms including Telegram, Discord, Feishu, and multiple AI providers, with integrated long-term memory and MCP tool extensions.

@dongxi_nlp: I saw discussions about whether to use Python for building Agents. Go check out Shunyu Yao's ReAct source code – just a few notebooks. I remember running those simple lines of code and collapsing into my chair; it was one of the rare experiences in life. No exaggeration, these note…

X AI KOLs Timeline

A tweet discussing whether to use Python for writing AI Agents, citing Shunyu Yao's ReAct source code (just a few Jupyter notebooks), claiming these notebooks kicked off the Agent era, and criticizing the attitude of looking down on specific programming languages.