agent-reach▌
panniantong/agent-reach · updated Apr 8, 2026
Multi-platform web search and content reading across 16+ social and web sources.
- ›Supports 16 platforms including Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat articles, LinkedIn, Instagram, V2EX, RSS, and general web search via Exa
- ›Zero configuration required for 8 channels; others need cookies or API keys (Groq for podcast transcription, Exa for web search)
- ›Provides command-line tools and Python APIs for searching, reading threads, extracting trans
Agent Reach — 路由器
17 平台工具集合。根据用户意图选择对应分类。
路由表
| 用户意图 | 分类 | 详细文档 |
|---|---|---|
| 网页搜索/代码搜索 | search | references/search.md |
| 小红书/抖音/微博/推特/B站/V2EX/Reddit | social | references/social.md |
| 招聘/职位/LinkedIn | career | references/career.md |
| GitHub/代码 | dev | references/dev.md |
| 网页/文章/公众号/RSS | web | references/web.md |
| YouTube/B站/播客字幕 | video | references/video.md |
零配置快速命令
# Exa 网页搜索
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
# 通用网页阅读
curl -s "https://r.jina.ai/URL"
# GitHub 搜索
gh search repos "query" --sort stars --limit 10
# Twitter 搜索
twitter search "query" --limit 10
# YouTube/B站字幕
yt-dlp --write-sub --skip-download -o "/tmp/%(id)s" "URL"
# Reddit 搜索
rdt search "query" --limit 10
# Reddit 读帖 + 评论
rdt read POST_ID
# V2EX 热门
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"
环境检查
# 检查可用 channel
agent-reach doctor
# 查看所有 MCP 服务
mcporter_list_servers()
工作区规则
不要在 agent workspace 创建文件。 使用 /tmp/ 存放临时输出，~/.agent-reach/ 存放持久数据。
详细文档
根据用户需求，阅读对应的详细文档：
- 搜索工具 — Exa AI 搜索
- 社交媒体 — 小红书, 抖音, Twitter, B站, V2EX, Reddit
- 职场招聘 — LinkedIn
- 开发工具 — GitHub CLI
- 网页阅读 — Jina Reader, 微信公众号, RSS
- 视频播客 — YouTube, B站, 小宇宙
配置渠道
如果某个 channel 需要配置，获取安装指南： https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
用户只需提供 cookies，其他配置由 agent 完成。
Ratings
4.5★★★★★73 reviews- ★★★★★Dhruvi Jain· Dec 24, 2024
I recommend agent-reach for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Michael Yang· Dec 20, 2024
Useful defaults in agent-reach — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Gill· Dec 16, 2024
We added agent-reach from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★James Sanchez· Dec 16, 2024
Registry listing for agent-reach matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Evelyn Choi· Dec 12, 2024
agent-reach fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Luis Ndlovu· Dec 12, 2024
Keeps context tight: agent-reach is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Zaid Ndlovu· Dec 8, 2024
agent-reach has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Zara Okafor· Nov 27, 2024
agent-reach reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aisha Patel· Nov 23, 2024
Solid pick for teams standardizing on skills: agent-reach is focused, and the summary matches what you get after install.
- ★★★★★Oshnikdeep· Nov 15, 2024
Useful defaults in agent-reach — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 73