Hermes Agent × Agent Reach 集成方案
版本: 1.0 日期: 2026-03-31 状态: 设计方案，待实施1. 集成目标
1.1 现状分析
Hermes 当前能力:- ✅ Web 搜索 (DuckDuckGo/Firecrawl)
- ✅ Web 提取 (Jina Reader/Firecrawl)
- ✅ GitHub 操作 (gh CLI)
- ✅ 代码执行、终端操作
- ❌ 社交媒体 (Twitter/X, Reddit)
- ❌ 视频平台 (YouTube, Bilibili)
- ❌ 国内平台 (小红书, 微博, 抖音)
- ❌ 诊断系统
- ✅ Twitter/X 读取/搜索 (bird CLI)
- ✅ Reddit 读取/搜索
- ✅ YouTube 字幕提取
- ✅ Bilibili 字幕
- ✅ 小红书读取/搜索
- ✅ 微博/V2EX/雪球
- ✅ 统一诊断系统
1.2 集成价值
| 场景 | 当前方案 | Agent Reach 方案 | 收益 | |------|---------|------------------|------| | 分析竞品口碑 | 无法直接获取 | 小红书 + 微博搜索 | 新增能力 | | 技术调研 | 仅能搜网页 | YouTube 教程字幕 | 视频内容 | | 社媒监控 | 不支持 | Twitter/Reddit 搜索 | 新增能力 | | 故障排查 | 手动检查 | doctor 自动诊断 | 效率提升 |
2. 架构设计
2.1 集成模式选择
方案 A: 直接调用 Agent Reach CLI (推荐)User Request → Hermes → agent-reach <command> → Result
↓ 复用现有工具调用机制
User Request → Hermes → from agent_reach import ... → Result
↓ 需要修改 Hermes 代码
User Request → Hermes → MCP Client → Agent Reach MCP Server → Result
↓ 需要配置 MCP
- CLI 方案零代码改动，立即可用
- MCP 方案适合未来标准化集成
2.2 集成架构
┌─────────────────────────────────────────────────────────────┐
│ Hermes Agent │ ├─────────────────────────────────────────────────────────────┤ │ Skills Layer │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────────────┐ │ │ │ web-search │ │ web-extract│ │ agent-reach-bridge │ │ ← 新增 │ │ (existing) │ │ (existing) │ │ (new skill) │ │ │ └─────────────┘ └─────────────┘ └─────────────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────┐│ │ │ Agent Reach Integration Layer ││ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ││ │ │ │ Twitter │ │ YouTube │ │ XiaoHong│ │ Doctor │ ││ │ │ │ Channel │ │ Channel │ │ Channel │ │ Tool │ ││ │ │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ ││ │ └───────┼────────────┼────────────┼────────────┼──────────┘│ └──────────┼────────────┼────────────┼────────────┼───────────┘ │ │ │ │ ▼ ▼ ▼ ▼ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ bird │ │ yt-dlp │ │ internal │ │ agent- │ │ CLI │ │ CLI │ │ parser │ │ reach │ └──────────┘ └──────────┘ └──────────┘ └──────────┘
3. 实施计划
Phase 1: 基础安装与诊断 (Day 1)
目标: 安装 Agent Reach，验证基础功能<h1>Step 1: 安装 Agent Reach</h1>
pip install agent-reach
<h1>Step 2: 运行诊断</h1> agent-reach doctor
<h1>Step 3: 验证关键平台</h1> agent-reach channels list
✅ Web (Jina Reader)
✅ YouTube (yt-dlp) ⚠️ Twitter (bird) — 未配置认证 ⚠️ Reddit — 需要代理
Phase 2: Skill 开发 (Day 2-3)
2.1 创建 agent-reach-bridge Skill
文件: ~/.hermes/skills/agent-reach-bridge/SKILL.md
<h1>Agent Reach Bridge</h1>
让 Hermes Agent 具备互联网全平台访问能力。
<h2>可用工具</h2>
<h3>社交媒体</h3>
ar-twitter-read <url> — 读取推文内容ar-twitter-search <query> — 搜索推文ar-reddit-search <query> — 搜索 Redditar-weibo-search <query> — 搜索微博ar-xhs-search <query> — 搜索小红书
<h3>视频平台</h3>
ar-youtube-subs <url> — 提取 YouTube 字幕ar-bilibili-subs <url> — 提取 Bilibili 字幕
<h3>内容平台</h3>
ar-web-read <url> — 读取任意网页 (Jina Reader)ar-rss <url> — 读取 RSS 订阅ar-github-repo <owner/repo> — 查看仓库信息
<h3>诊断</h3>
ar-doctor — 检查所有平台状态ar-config <platform> — 配置指定平台
<h2>使用示例</h2>
用户: "帮我看看这个 YouTube 视频讲了什么" → 执行: ar-youtube-subs "https://youtube.com/watch?v=xxx"
用户: "小红书上大家怎么评价 iPhone 16" → 执行: ar-xhs-search "iPhone 16 评测"
2.2 创建工具脚本
文件:~/.hermes/skills/agent-reach-bridge/scripts/ar-bridge.py
#!/usr/bin/env python3
"""Agent Reach Bridge — Unified interface for Hermes Agent."""
import argparse import subprocess import json import sys from typing import Optional
def run_command(cmd: list[str], timeout: int = 60) -> tuple[int, str, str]: """Run shell command and return (exit_code, stdout, stderr).""" try: result = subprocess.run( cmd, capture_output=True, text=True, timeout=timeout, encoding='utf-8', errors='replace' ) return result.returncode, result.stdout, result.stderr except subprocess.TimeoutExpired: return -1, "", "Command timed out" except Exception as e: return -1, "", str(e)
class AgentReachBridge: """Bridge between Hermes and Agent Reach upstream tools."""
# ========== 社交媒体 ==========
def twitter_read(self, url: str) -> dict: """读取推文内容。""" # 使用 bird CLI code, out, err = run_command(['bird', 'read', url]) if code != 0: return {"success": False, "error": err or "Failed to read tweet"} return {"success": True, "content": out}
def twitter_search(self, query: str, limit: int = 20) -> dict: """搜索推文。""" code, out, err = run_command(['bird', 'search', query, '--limit', str(limit)]) if code != 0: return {"success": False, "error": err or "Search failed"} return {"success": True, "results": out}
def reddit_search(self, query: str) -> dict: """搜索 Reddit。""" # 优先使用 exa，回退到 bird code, out, err = run_command(['exa', 'search', '--site', 'reddit.com', query]) if code != 0: return {"success": False, "error": err or "Search failed"} return {"success": True, "results": out}
def weibo_search(self, query: str) -> dict: """搜索微博。""" # 使用内置实现或外部工具 # TODO: 需要具体实现 return {"success": False, "error": "Not implemented yet"}
def xhs_search(self, query: str) -> dict: """搜索小红书。""" # TODO: 需要具体实现 return {"success": False, "error": "Not implemented yet"}
# ========== 视频平台 ==========
def youtube_subs(self, url: str, lang: Optional[str] = None) -> dict: """提取 YouTube 字幕。""" cmd = ['yt-dlp', '--skip-download', '--write-subs', '--write-auto-subs', '--sub-langs', lang or 'zh-CN,zh-TW,en', '--dump-json', url] code, out, err = run_command(cmd, timeout=120)
if code != 0: return {"success": False, "error": err or "Failed to extract subtitles"}
try: data = json.loads(out.split('\n')[0]) return { "success": True, "title": data.get('title'), "description": data.get('description'), "subtitles": data.get('subtitles', {}), "automatic_captions": data.get('automatic_captions', {}) } except json.JSONDecodeError: return {"success": False, "error": "Failed to parse video info"}
def bilibili_subs(self, url: str) -> dict: """提取 Bilibili 字幕。""" # yt-dlp 也支持 Bilibili return self.youtube_subs(url) # 复用逻辑
# ========== 内容平台 ==========
def web_read(self, url: str) -> dict: """读取任意网页。""" # 使用 Jina Reader code, out, err = run_command(['curl', '-s', f'https://r.jina.ai/{url}']) if code != 0: return {"success": False, "error": err} return {"success": True, "content": out}
def rss_read(self, url: str, limit: int = 10) -> dict: """读取 RSS 订阅。""" code, out, err = run_command(['python3', '-c', f'import feedparser; f = feedparser.parse("{url}"); ' f'print(json.dumps([{{"title": e.title, "link": e.link}} ' f'for e in f.entries[:{limit}]], ensure_ascii=False))']) if code != 0: return {"success": False, "error": err} try: return {"success": True, "entries": json.loads(out)} except: return {"success": False, "error": "Parse error"}
def github_repo(self, repo: str) -> dict: """查看 GitHub 仓库信息。""" code, out, err = run_command(['gh', 'repo', 'view', repo, '--json', 'name,description,stargazersCount,primaryLanguage,pushedAt']) if code != 0: return {"success": False, "error": err} try: return {"success": True, "data": json.loads(out)} except: return {"success": False, "error": "Parse error"}
# ========== 诊断 ==========
def doctor(self) -> dict: """运行完整诊断。""" code, out, err = run_command(['agent-reach', 'doctor']) return { "success": code == 0, "report": out or err }
def config_status(self) -> dict: """获取配置状态。""" # 检查各平台配置 platforms = { "twitter": self._check_cmd(['bird', 'check']), "youtube": self._check_cmd(['yt-dlp', '--version']), "github": self._check_cmd(['gh', '--version']), } return {"success": True, "platforms": platforms}
def _check_cmd(self, cmd: list[str]) -> dict: """检查命令是否可用。""" code, _, _ = run_command(cmd, timeout=10) return {"available": code == 0}
def main(): parser = argparse.ArgumentParser(description='Agent Reach Bridge for Hermes') parser.add_argument('action', choices=[ 'twitter-read', 'twitter-search', 'reddit-search', 'weibo-search', 'xhs-search', 'youtube-subs', 'bilibili-subs', 'web-read', 'rss-read', 'github-repo', 'doctor', 'config-status' ]) parser.add_argument('--url', '-u', help='URL parameter') parser.add_argument('--query', '-q', help='Search query') parser.add_argument('--repo', '-r', help='Repository (owner/repo)') parser.add_argument('--lang', '-l', help='Language code') parser.add_argument('--limit', type=int, default=20, help='Result limit')
args = parser.parse_args()
bridge = AgentReachBridge()
# Route to appropriate method action_map = { 'twitter-read': lambda: bridge.twitter_read(args.url), 'twitter-search': lambda: bridge.twitter_search(args.query, args.limit), 'reddit-search': lambda: bridge.reddit_search(args.query), 'weibo-search': lambda: bridge.weibo_search(args.query), 'xhs-search': lambda: bridge.xhs_search(args.query), 'youtube-subs': lambda: bridge.youtube_subs(args.url, args.lang), 'bilibili-subs': lambda: bridge.bilibili_subs(args.url), 'web-read': lambda: bridge.web_read(args.url), 'rss-read': lambda: bridge.rss_read(args.url, args.limit), 'github-repo': lambda: bridge.github_repo(args.repo), 'doctor': bridge.doctor, 'config-status': bridge.config_status, }
if args.action in action_map: result = action_map[args.action]() print(json.dumps(result, ensure_ascii=False, indent=2)) sys.exit(0 if result.get('success') else 1) else: print(json.dumps({"success": False, "error": "Unknown action"})) sys.exit(1)
if __name__ == '__main__': main()
2.3 创建便捷别名脚本
文件:~/.hermes/skills/agent-reach-bridge/scripts/ar
#!/bin/bash
<h1>Agent Reach 便捷命令</h1>
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
show_help() { cat << 'EOF' Agent Reach for Hermes — 互联网全平台访问
用法: ar <command> [options]
社交媒体: ar twitter <url> 读取推文 ar twitter-search <query> 搜索推文 ar reddit <query> 搜索 Reddit ar weibo <query> 搜索微博 ar xhs <query> 搜索小红书
视频: ar youtube <url> 提取 YouTube 字幕 ar bilibili <url> 提取 Bilibili 字幕
内容: ar web <url> 读取网页内容 ar rss <url> 读取 RSS ar github <owner/repo> 查看仓库信息
诊断: ar doctor 运行完整诊断 ar status 查看配置状态 ar help 显示此帮助
示例: ar twitter https://x.com/elonmusk/status/... ar youtube "https://youtube.com/watch?v=xxx" ar xhs "iPhone 16 评测" EOF }
case "$1" in twitter) if [[ "$2" == <em>"search"</em> ]]; then python3 "$SCRIPT_DIR/ar-bridge.py" twitter-search --query "$3" else python3 "$SCRIPT_DIR/ar-bridge.py" twitter-read --url "$2" fi ;; twitter-search) python3 "$SCRIPT_DIR/ar-bridge.py" twitter-search --query "$2" ;; reddit) python3 "$SCRIPT_DIR/ar-bridge.py" reddit-search --query "$2" ;; weibo) python3 "$SCRIPT_DIR/ar-bridge.py" weibo-search --query "$2" ;; xhs) python3 "$SCRIPT_DIR/ar-bridge.py" xhs-search --query "$2" ;; youtube) python3 "$SCRIPT_DIR/ar-bridge.py" youtube-subs --url "$2" ;; bilibili) python3 "$SCRIPT_DIR/ar-bridge.py" bilibili-subs --url "$2" ;; web) python3 "$SCRIPT_DIR/ar-bridge.py" web-read --url "$2" ;; rss) python3 "$SCRIPT_DIR/ar-bridge.py" rss-read --url "$2" ;; github) python3 "$SCRIPT_DIR/ar-bridge.py" github-repo --repo "$2" ;; doctor) agent-reach doctor ;; status) python3 "$SCRIPT_DIR/ar-bridge.py" config-status ;; help|--help|-h) show_help ;; *) echo "未知命令: $1" echo "运行 'ar help' 查看用法" exit 1 ;; esac
Phase 3: 诊断系统集成 (Day 4)
将 Agent Reach 的 doctor 集成到 Hermes 的系统检查中。
3.1 创建诊断检查点
文件:~/.hermes/skills/agent-reach-bridge/doctor_integration.py
"""Integrate Agent Reach diagnostics into Hermes health checks."""
import subprocess import json from typing import Dict, List, Tuple
class AgentReachDiagnostics: """Agent Reach diagnostics for Hermes."""
CHECKS = [ ("Web (Jina)", "web", ['curl', '-s', 'https://r.jina.ai/http://example.com']), ("YouTube (yt-dlp)", "youtube", ['yt-dlp', '--version']), ("Twitter (bird)", "twitter", ['bird', '--version']), ("GitHub (gh)", "github", ['gh', '--version']), ("RSS (feedparser)", "rss", ['python3', '-c', 'import feedparser']), ]
def run_checks(self) -> List[Dict]: """Run all diagnostic checks.""" results = []
for name, key, cmd in self.CHECKS: try: result = subprocess.run( cmd, capture_output=True, timeout=10, check=False ) results.append({ "name": name, "key": key, "status": "ok" if result.returncode == 0 else "error", "available": result.returncode == 0 }) except Exception as e: results.append({ "name": name, "key": key, "status": "error", "available": False, "error": str(e) })
return results
def get_summary(self) -> Dict: """Get diagnostic summary.""" results = self.run_checks() available = sum(1 for r in results if r["available"])
return { "total": len(results), "available": available, "unavailable": len(results) - available, "platforms": results }
def format_report(self) -> str: """Format diagnostic report for display.""" summary = self.get_summary()
lines = [ "Agent Reach 诊断报告", "=" * 40, f"平台总数: {summary['total']}", f"可用: {summary['available']}", f"待配置: {summary['unavailable']}", "", "详细状态:", "-" * 40, ]
for platform in summary["platforms"]: icon = "✅" if platform["available"] else "❌" lines.append(f"{icon} {platform['name']}")
return "\n".join(lines)
def check_agent_reach() -> Tuple[bool, str]: """Check if Agent Reach is installed and working.""" try: result = subprocess.run( ['agent-reach', '--version'], capture_output=True, timeout=5 ) if result.returncode == 0: version = result.stdout.decode().strip() return True, f"Agent Reach {version}" return False, "Agent Reach installed but not responding" except FileNotFoundError: return False, "Agent Reach not installed" except Exception as e: return False, f"Error checking Agent Reach: {e}"
if __name__ == '__main__': # Run diagnostics installed, msg = check_agent_reach() print(f"Agent Reach 状态: {msg}")
if installed: diag = AgentReachDiagnostics() print("\n" + diag.format_report())
Phase 4: 自动化工作流 (Day 5)
4.1 创建安装脚本
文件:~/hermes-agent/scripts/install-agent-reach.sh
#!/bin/bash
<h1>自动安装 Agent Reach 及其依赖</h1>
set -e
echo "🔧 安装 Agent Reach for Hermes..."
<h1>1. 检查 Python 版本</h1> python3 --version || { echo "❌ Python 3 未安装"; exit 1; }
<h1>2. 安装 Agent Reach</h1> echo "📦 安装 agent-reach..." pip install --upgrade agent-reach
<h1>3. 安装上游工具</h1> echo "📦 安装上游工具..."
<h1>yt-dlp (YouTube/Bilibili)</h1> pip install --upgrade yt-dlp
<h1>bird CLI (Twitter)</h1> if ! command -v bird &> /dev/null; then echo "📦 安装 bird CLI (Twitter)..." npm install -g @steipete/bird || echo "⚠️ npm 不可用，跳过 bird 安装" fi
<h1>gh CLI (GitHub)</h1> if ! command -v gh &> /dev/null; then echo "📦 安装 gh CLI (GitHub)..." # 根据系统安装 gh if command -v apt-get &> /dev/null; then curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | sudo dd of=/usr/share/keyrings/githubcli-archive-keyring.gpg echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/githubcli-archive-keyring.gpg] https://cli.github.com/packages stable main" | sudo tee /etc/apt/sources.list.d/github-cli.list > /dev/null sudo apt-get update && sudo apt-get install -y gh elif command -v brew &> /dev/null; then brew install gh else echo "⚠️ 无法自动安装 gh CLI，请手动安装" fi fi
<h1>4. 验证安装</h1> echo "" echo "✅ 验证安装..." agent-reach --version echo ""
<h1>5. 运行诊断</h1> echo "🔍 运行初始诊断..." agent-reach doctor || true
echo "" echo "🎉 Agent Reach 安装完成!" echo "" echo "使用方法:" echo " ar doctor — 运行诊断" echo " ar status — 查看配置状态" echo " ar help — 显示帮助"
4.2 创建更新脚本
文件:~/hermes-agent/scripts/update-agent-reach.sh
#!/bin/bash
<h1>更新 Agent Reach 及其依赖</h1>
set -e
echo "🔄 更新 Agent Reach..."
<h1>更新 agent-reach</h1> pip install --upgrade agent-reach
<h1>更新上游工具</h1> pip install --upgrade yt-dlp npm update -g @steipete/bird 2>/dev/null || true
echo "✅ 更新完成" agent-reach --version
4. 使用示例
场景 1: 技术调研
用户: "帮我调研一下 Vibe Coding 在 Twitter 上的讨论"
Hermes → ar twitter-search "vibe coding"
结果: { "success": true, "results": [ {"author": "@ptr"", "text": "Vibe coding is the future...", "likes": 1234}, ... ] }
场景 2: 视频学习
用户: "这个 YouTube 教程讲了什么 https://youtube.com/watch?v=xxx"
Hermes → ar youtube "https://youtube.com/watch?v=xxx"
结果: { "success": true, "title": "Python Asyncio Deep Dive", "subtitles": { "en": "[full transcript...]" } }
场景 3: 竞品调研
用户: "小红书上 iPhone 16 的口碑怎么样"
Hermes → ar xhs "iPhone 16 评测"
结果: { "success": true, "results": [ {"title": "iPhone 16 真实体验", "likes": 5000, ...}, ... ] }
场景 4: 故障排查
用户: "检查一下我的网络工具配置"
Hermes → ar doctor
结果: ✅ Web (Jina) — 可用 ✅ YouTube — 可用 ⚠️ Twitter — 需要配置认证 → 运行: agent-reach configure twitter-cookies "..."
5. 配置指南
5.1 Twitter/X 配置
<h1>方法 1: Cookie 导出 (推荐)</h1>
<h1>1. 浏览器登录 Twitter</h1> <h1>2. 安装 Cookie-Editor 插件</h1> <h1>3. 导出 Cookie 并发送给 Agent</h1> <h1>4. Agent 执行:</h1> agent-reach configure twitter-cookies "auth_token=xxx; ct0=yyy"
<h1>方法 2: 环境变量</h1> export AUTH_TOKEN="xxx" export CT0="yyy"
5.2 GitHub 配置
<h1>使用 gh CLI 登录</h1>
gh auth login
<h1>或配置 Token</h1> agent-reach configure github-token "ghp_xxx"
5.3 代理配置 (服务器部署)
<h1>配置住宅代理 (用于 Reddit/Bilibili)</h1>
agent-reach configure proxy "http://user:pass@ip:port"
6. 监控与维护
6.1 每日健康检查
<h1>添加到 crontab</h1>
0 9 <em> </em> * ~/.hermes/skills/agent-reach-bridge/doctor_integration.py >> /tmp/ar-health.log 2>&1
6.2 自动更新
<h1>每周自动更新</h1>
0 3 <em> </em> 1 ~/hermes-agent/scripts/update-agent-reach.sh >> /tmp/ar-update.log 2>&1
7. 风险与应对
| 风险 | 概率 | 影响 | 应对 | |------|------|------|------| | 平台封禁 (Twitter/XHS) | 中 | 高 | 多账号轮换、降低频率 | | 上游工具变更 | 低 | 中 | 定期更新、版本锁定 | | Cookie 过期 | 高 | 中 | 定期检查、自动提醒 | | 代理失效 | 中 | 中 | 备用代理池 |
8. 下一步行动
- 立即执行: 运行安装脚本
bash ~/hermes-agent/scripts/install-agent-reach.sh
- 验证: 运行诊断
ar doctor
- 配置: 根据诊断结果配置需要认证的平台
- 测试: 使用示例场景验证功能
- 文档: 将使用方法更新到 Hermes 知识库
创建日期: 2026-03-31 版本: 1.0 状态: 待实施