修改： "2026 Ubuntu \345\256\211\350\243\205.md"

新文件： "AI\346\212\200\346\234\257/cc-switch&claude-code.md" 重命名： hermes-agent.md -> "AI\346\212\200\346\234\257/hermes-agent.md" 删除： "AI\346\212\200\346\234\257/\345\207\206\345\244\207.md" 重命名： "\347\224\265\345\255\220\347\247\244\345\233\276\347\211\207\350\257\206\345\210\253\347\263\273\347\273\237\350\256\276\350\256\241.md" -> "AI\346\212\200\346\234\257/\347\224\265\345\255\220\347\247\244\345\233\276\347\211\207\350\257\206\345\210\253\347\263\273\347\273\237\350\256\276\350\256\241.md"
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+# Hermes Agent 0.9.0
+
+https://hermes-agent.nousresearch.com/docs/user-guide/docker?_highlight=docker#docker-compose-example
+
+1.95.126.170    
+
+## 部署
+
+    /www/hermes/docker-compose.yml
+
+```yml
+services:
+  hermes:
+    image: nousresearch/hermes-agent:latest
+    container_name: hermes
+    restart: unless-stopped
+    command: gateway run
+    ports:
+      - "8642:8642"
+    volumes:
+      - ~/.hermes:/opt/data
+    networks:
+      - hermes-net
+    # Uncomment to forward specific env vars instead of using .env file:
+    # environment:
+    #   - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
+    #   - OPENAI_API_KEY=${OPENAI_API_KEY}
+    #   - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
+    deploy:
+      resources:
+        limits:
+          memory: 4G
+          cpus: "2.0"
+
+  dashboard:
+    image: nousresearch/hermes-agent:latest
+    container_name: hermes-dashboard
+    restart: unless-stopped
+    command: dashboard --host 0.0.0.0  --insecure
+    ports:
+      - "9119:9119"
+    volumes:
+      - ~/.hermes:/opt/data
+    environment:
+      - GATEWAY_HEALTH_URL=http://hermes:8642
+    networks:
+      - hermes-net
+    depends_on:
+      - hermes
+    deploy:
+      resources:
+        limits:
+          memory: 512M
+          cpus: "0.5"
+
+networks:
+  hermes-net:
+    driver: bridge
+```
+
+## 配置
+
+cat ~/.hermes/.env     配置仪表盘、模型、消息平台
+
+```ini
+# Hermes Agent Environment Configuration
+# Copy this file to .env and fill in your API keys
+
+# =============================================================================
+# LLM PROVIDER (OpenRouter)
+# =============================================================================
+# OpenRouter provides access to many models through one API
+# All LLM calls go through OpenRouter - no direct provider keys needed
+# Get your key at: https://openrouter.ai/keys
+# OPENROUTER_API_KEY=
+
+# Default model is configured in ~/.hermes/config.yaml (model.default).
+# Use 'hermes model' or 'hermes setup' to change it.
+# LLM_MODEL is no longer read from .env — this line is kept for reference only.
+# LLM_MODEL=anthropic/claude-opus-4.6
+
+# =============================================================================
+# LLM PROVIDER (Google AI Studio / Gemini)
+# =============================================================================
+# Native Gemini API via Google's OpenAI-compatible endpoint.
+# Get your key at: https://aistudio.google.com/app/apikey
+# GOOGLE_API_KEY=your_google_ai_studio_key_here
+# GEMINI_API_KEY=your_gemini_key_here  # alias for GOOGLE_API_KEY
+# Optional base URL override (default: Google's OpenAI-compatible endpoint)
+# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
+
+# =============================================================================
+# LLM PROVIDER (z.ai / GLM)
+# =============================================================================
+# z.ai provides access to ZhipuAI GLM models (GLM-4-Plus, etc.)
+# Get your key at: https://z.ai or https://open.bigmodel.cn
+# GLM_API_KEY=
+# GLM_BASE_URL=https://api.z.ai/api/paas/v4  # Override default base URL
+
+# =============================================================================
+# LLM PROVIDER (Kimi / Moonshot)
+# =============================================================================
+# Kimi Code provides access to Moonshot AI coding models (kimi-k2.5, etc.)
+# Get your key at: https://platform.kimi.ai (Kimi Code console)
+# Keys prefixed sk-kimi- use the Kimi Code API (api.kimi.com) by default.
+# Legacy keys from platform.moonshot.ai need KIMI_BASE_URL override below.
+# KIMI_API_KEY=
+# KIMI_BASE_URL=https://api.kimi.com/coding/v1  # Default for sk-kimi- keys
+# KIMI_BASE_URL=https://api.moonshot.ai/v1      # For legacy Moonshot keys
+# KIMI_BASE_URL=https://api.moonshot.cn/v1       # For Moonshot China keys
+# KIMI_CN_API_KEY=                               # Dedicated Moonshot China key
+
+# =============================================================================
+# LLM PROVIDER (Arcee AI)
+# =============================================================================
+# Arcee AI provides access to Trinity models (trinity-mini, trinity-large-*)
+# Get an Arcee key at: https://chat.arcee.ai/
+# ARCEEAI_API_KEY=
+# ARCEE_BASE_URL=                                 # Override default base URL
+
+# =============================================================================
+# LLM PROVIDER (MiniMax)
+# =============================================================================
+# MiniMax provides access to MiniMax models (global endpoint)
+# Get your key at: https://www.minimax.io
+# MINIMAX_API_KEY=
+# MINIMAX_BASE_URL=https://api.minimax.io/v1  # Override default base URL
+
+# MiniMax China endpoint (for users in mainland China)
+# MINIMAX_CN_API_KEY=
+# MINIMAX_CN_BASE_URL=https://api.minimaxi.com/v1  # Override default base URL
+
+# =============================================================================
+# LLM PROVIDER (OpenCode Zen)
+# =============================================================================
+# OpenCode Zen provides curated, tested models (GPT, Claude, Gemini, MiniMax, GLM, Kimi)
+# Pay-as-you-go pricing. Get your key at: https://opencode.ai/auth
+# OPENCODE_ZEN_API_KEY=
+# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1  # Override default base URL
+A
+
+# =============================================================================
+# LLM PROVIDER (OpenCode Go)
+# =============================================================================
+# OpenCode Go provides access to open models (GLM-5, Kimi K2.5, MiniMax M2.5)
+# A
+# $10/month subscription. Get your key at: https://opencode.ai/auth
+# OPENCODE_GO_API_KEY=
+
+# =============================================================================
+# LLM PROVIDER (Hugging Face Inference Providers)
+# =============================================================================
+# Hugging Face routes to 20+ open models via unified OpenAI-compatible endpoint.
+# Free tier included ($0.10/month), no markup on provider rates.
+# Get your token at: https://huggingface.co/settings/tokens
+# Required permission: "Make calls to Inference Providers"
+# HF_TOKEN=
+# OPENCODE_GO_BASE_URL=https://opencode.ai/zen/go/v1  # Override default base URL
+
+# =============================================================================
+# LLM PROVIDER (Qwen OAuth)
+# =============================================================================
+# Qwen OAuth reuses your local Qwen CLI login (qwen auth qwen-oauth).
+# No API key needed — credentials come from ~/.qwen/oauth_creds.json.
+# Optional base URL override:
+# HERMES_QWEN_BASE_URL=https://portal.qwen.ai/v1
+
+# =============================================================================
+# LLM PROVIDER (Xiaomi MiMo)
+# =============================================================================
+# Xiaomi MiMo models (mimo-v2-pro, mimo-v2-omni, mimo-v2-flash).
+# Get your key at: https://platform.xiaomimimo.com
+# XIAOMI_API_KEY=your_key_here
+# Optional base URL override:
+# XIAOMI_BASE_URL=https://api.xiaomimimo.com/v1
+
+# =============================================================================
+# TOOL API KEYS
+# =============================================================================
+
+# Exa API Key - AI-native web search and contents
+# Get at: https://exa.ai
+# EXA_API_KEY=
+
+# Parallel API Key - AI-native web search and extract
+# Get at: https://parallel.ai
+# PARALLEL_API_KEY=
+
+# Firecrawl API Key - Web search, extract, and crawl
+# Get at: https://firecrawl.dev/
+# FIRECRAWL_API_KEY=
+
+
+# FAL.ai API Key - Image generation
+# Get at: https://fal.ai/
+# FAL_KEY=
+
+# Honcho - Cross-session AI-native user modeling (optional)
+# Builds a persistent understanding of the user across sessions and tools.
+# Get at: https://app.honcho.dev
+# Also requires ~/.honcho/config.json with enabled=true (see README).
+# HONCHO_API_KEY=
+
+# =============================================================================
+# TERMINAL TOOL CONFIGURATION
+# =============================================================================
+# Backend type: "local", "singularity", "docker", "modal", or "ssh"
+# Terminal backend is configured in ~/.hermes/config.yaml (terminal.backend).
+# Use 'hermes setup' or 'hermes config set terminal.backend docker' to change.
+# Supported: local, docker, singularity, modal, ssh
+#
+# Only override here if you need to force a backend without touching config.yaml:
+# TERMINAL_ENV=local
+
+# Override the container runtime binary (e.g. to use Podman instead of Docker).
+# Useful on systems where Docker's storage driver is broken or unavailable.
+# HERMES_DOCKER_BINARY=/usr/local/bin/podman
+
+# Container images (for singularity/docker/modal backends)
+# TERMINAL_DOCKER_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
+# TERMINAL_SINGULARITY_IMAGE=docker://nikolaik/python-nodejs:python3.11-nodejs20
+TERMINAL_MODAL_IMAGE=nikolaik/python-nodejs:python3.11-nodejs20
+
+
+# Working directory for terminal commands
+# For local backend: "." means current directory (resolved automatically)
+# For remote backends (ssh/docker/modal/singularity): use an absolute path
+#   INSIDE the target environment, or leave unset for the backend's default
+#   (/root for modal, / for docker, ~ for ssh). Do NOT use a host-local path.
+# Usually managed by config.yaml (terminal.cwd) — uncomment to override
+# TERMINAL_CWD=.
+
+# Default command timeout in seconds
+TERMINAL_TIMEOUT=60
+
+# Cleanup inactive environments after this many seconds
+TERMINAL_LIFETIME_SECONDS=300
+
+# =============================================================================
+# SSH REMOTE EXECUTION (for TERMINAL_ENV=ssh)
+# =============================================================================
+# Run terminal commands on a remote server via SSH.
+# Agent code stays on your machine, commands execute remotely.
+#
+# SECURITY BENEFITS:
+# - Agent cannot read your .env file (API keys protected)
+# - Agent cannot modify its own code
+# - Remote server acts as isolated sandbox
+# - Can safely configure passwordless sudo on remote
+#
+# TERMINAL_SSH_HOST=192.168.1.100
+# TERMINAL_SSH_USER=agent
+# TERMINAL_SSH_PORT=22
+# TERMINAL_SSH_KEY=~/.ssh/id_rsa
+
+# =============================================================================
+# SUDO SUPPORT (works with ALL terminal backends)
+# =============================================================================
+# If set, enables sudo commands by piping password via `sudo -S`.
+# Works with: local, docker, singularity, modal, and ssh backends.
+# 
+# SECURITY WARNING: Password stored in plaintext. Only use on trusted machines.
+# 
+# ALTERNATIVES:
+# - For SSH backend: Configure passwordless sudo on the remote server
+# - For containers: Run as root inside the container (no sudo needed)
+# - For local: Configure /etc/sudoers for specific commands
+# - For CLI: Leave unset - you'll be prompted interactively with 45s timeout
+#
+# SUDO_PASSWORD=your_password_here
+
+# =============================================================================
+# MODAL CLOUD BACKEND (Optional - for TERMINAL_ENV=modal)
+# =============================================================================
+# Modal uses CLI authentication, not environment variables.
+# Run: pip install modal && modal setup
+# This will authenticate via browser and store credentials locally.
+# No API key needed in .env - Modal handles auth automatically.
+
+# =============================================================================
+# BROWSER TOOL CONFIGURATION (agent-browser + Browserbase)
+# =============================================================================
+# Browser automation requires Browserbase cloud service for remote browser execution.
+# This allows the agent to navigate websites, fill forms, and extract information.
+#
+# STEALTH MODES:
+# - Basic Stealth: ALWAYS active (random fingerprints, auto CAPTCHA solving)
+# - Advanced Stealth: Requires BROWSERBASE_ADVANCED_STEALTH=true (Scale Plan only)
+
+# Browserbase API Key - Cloud browser execution
+# Get at: https://browserbase.com/
+# BROWSERBASE_API_KEY=
+
+# Browserbase Project ID - From your Browserbase dashboard
+# BROWSERBASE_PROJECT_ID=
+
+# Enable residential proxies for better CAPTCHA solving (default: true)
+# Routes traffic through residential IPs, significantly improves success rate
+BROWSERBASE_PROXIES=true
+
+# Enable advanced stealth mode (default: false, requires Scale Plan)
+# Uses custom Chromium build to avoid bot detection altogether
+BROWSERBASE_ADVANCED_STEALTH=false
+
+# Browser session timeout in seconds (default: 300)
+# Sessions are cleaned up after this duration of inactivity
+BROWSER_SESSION_TIMEOUT=300
+
+# Browser inactivity timeout - auto-cleanup inactive sessions (default: 120 = 2 min)
+# Browser sessions are automatically closed after this period of no activity
+BROWSER_INACTIVITY_TIMEOUT=120
+
+# =============================================================================
+# SESSION LOGGING
+# =============================================================================
+# Session trajectories are automatically saved to logs/ directory
+# Format: logs/session_YYYYMMDD_HHMMSS_UUID.json
+# Contains full conversation history in trajectory format for debugging/replay
+
+# =============================================================================
+# VOICE TRANSCRIPTION & OPENAI TTS
+# =============================================================================
+# Required for voice message transcription (Whisper) and OpenAI TTS voices.
+# Uses OpenAI's API directly (not via OpenRouter).
+# Named VOICE_TOOLS_OPENAI_KEY to avoid interference with OpenRouter.
+# Get at: https://platform.openai.com/api-keys
+# VOICE_TOOLS_OPENAI_KEY=
+
+# =============================================================================
+# SLACK INTEGRATION
+# =============================================================================
+# Slack Bot Token - From Slack App settings (OAuth & Permissions)
+# Get at: https://api.slack.com/apps
+# SLACK_BOT_TOKEN=xoxb-...
+
+# Slack App Token - For Socket Mode (App-Level Tokens in Slack App settings)
+# SLACK_APP_TOKEN=xapp-...
+
+# Slack allowed users (comma-separated Slack user IDs)
+# SLACK_ALLOWED_USERS=
+
+# =============================================================================
+# TELEGRAM INTEGRATION
+# =============================================================================
+# Telegram Bot Token - From @BotFather (https://t.me/BotFather)
+# TELEGRAM_BOT_TOKEN=
+# TELEGRAM_ALLOWED_USERS=                  # Comma-separated user IDs
+# TELEGRAM_HOME_CHANNEL=                   # Default chat for cron delivery
+# TELEGRAM_HOME_CHANNEL_NAME=              # Display name for home channel
+
+# Webhook mode (optional — for cloud deployments like Fly.io/Railway)
+# Default is long polling. Setting TELEGRAM_WEBHOOK_URL switches to webhook mode.
+# TELEGRAM_WEBHOOK_URL=https://my-app.fly.dev/telegram
+# TELEGRAM_WEBHOOK_PORT=8443
+# TELEGRAM_WEBHOOK_SECRET=                 # Recommended for production
+
+# WhatsApp (built-in Baileys bridge — run `hermes whatsapp` to pair)
+# WHATSAPP_ENABLED=false
+# WHATSAPP_ALLOWED_USERS=15551234567
+
+# Email (IMAP/SMTP — send and receive emails as Hermes)
+# For Gmail: enable 2FA → create App Password at https://myaccount.google.com/apppasswords
+# EMAIL_ADDRESS=hermes@gmail.com
+# EMAIL_PASSWORD=xxxx xxxx xxxx xxxx
+# EMAIL_IMAP_HOST=imap.gmail.com
+# EMAIL_IMAP_PORT=993
+# EMAIL_SMTP_HOST=smtp.gmail.com
+# EMAIL_SMTP_PORT=587
+# EMAIL_POLL_INTERVAL=15
+# EMAIL_ALLOWED_USERS=your@email.com
+# EMAIL_HOME_ADDRESS=your@email.com
+
+# Gateway-wide: allow ALL users without an allowlist (default: false = deny)
+# Only set to true if you intentionally want open access.
+# GATEWAY_ALLOW_ALL_USERS=false
+
+# =============================================================================
+# RESPONSE PACING
+# =============================================================================
+# Human-like delays between message chunks on messaging platforms.
+# Makes the bot feel less robotic.
+# HERMES_HUMAN_DELAY_MODE=off     # off | natural | custom
+# HERMES_HUMAN_DELAY_MIN_MS=800   # Min delay in ms (custom mode)
+# HERMES_HUMAN_DELAY_MAX_MS=2500  # Max delay in ms (custom mode)
+
+# =============================================================================
+# DEBUG OPTIONS
+# =============================================================================
+WEB_TOOLS_DEBUG=false
+VISION_TOOLS_DEBUG=false
+MOA_TOOLS_DEBUG=false
+IMAGE_TOOLS_DEBUG=false
+
+# =============================================================================
+# CONTEXT COMPRESSION (Auto-shrinks long conversations)
+# =============================================================================
+# When conversation approaches model's context limit, middle turns are
+# automatically summarized to free up space.
+#
+# Context compression is configured in ~/.hermes/config.yaml under compression:
+# CONTEXT_COMPRESSION_ENABLED=true        # Enable auto-compression (default: true)
+# CONTEXT_COMPRESSION_THRESHOLD=0.85      # Compress at 85% of context limit
+# Model is set via compression.summary_model in config.yaml (default: google/gemini-3-flash-preview)
+
+# =============================================================================
+# RL TRAINING (Tinker + Atropos)
+# =============================================================================
+# Run reinforcement learning training on language models using the Tinker API.
+# Requires the rl-server to be running (from tinker-atropos package).
+
+# Tinker API Key - RL training service
+# Get at: https://tinker-console.thinkingmachines.ai/keys
+# TINKER_API_KEY=
+
+# Weights & Biases API Key - Experiment tracking and metrics
+# Get at: https://wandb.ai/authorize
+# WANDB_API_KEY=
+
+# RL API Server URL (default: http://localhost:8080)
+# Change if running the rl-server on a different host/port
+# RL_API_URL=http://localhost:8080
+
+# =============================================================================
+# SKILLS HUB (GitHub integration for skill search/install/publish)
+# =============================================================================
+
+# GitHub Personal Access Token — for higher API rate limits on skill search/install
+# Get at: https://github.com/settings/tokens (Fine-grained recommended)
+# GITHUB_TOKEN=ghp_xxxxxxxxxxxxxxxxxxxx
+
+# GitHub App credentials (optional — for bot identity on PRs)
+# GITHUB_APP_ID=
+# GITHUB_APP_PRIVATE_KEY_PATH=
+# GITHUB_APP_INSTALLATION_ID=
+
+# Groq API key (free tier — used for Whisper STT in voice mode)
+# GROQ_API_KEY=
+
+# =============================================================================
+# STT PROVIDER SELECTION
+# =============================================================================
+# Default STT provider is "local" (faster-whisper) — runs on your machine, no API key needed.
+# Install with: pip install faster-whisper
+# Model downloads automatically on first use (~150 MB for "base").
+# To use cloud providers instead, set GROQ_API_KEY or VOICE_TOOLS_OPENAI_KEY above.
+# Provider priority: local > groq > openai
+# Configure in config.yaml: stt.provider: local | groq | openai
+
+# =============================================================================
+# STT ADVANCED OVERRIDES (optional)
+# =============================================================================
+# Override default STT models per provider (normally set via stt.model in config.yaml)
+# STT_GROQ_MODEL=whisper-large-v3-turbo
+# STT_OPENAI_MODEL=whisper-1
+
+# Override STT provider endpoints (for proxies or self-hosted instances)
+# GROQ_BASE_URL=https://api.groq.com/openai/v1
+# STT_OPENAI_BASE_URL=https://api.openai.com/v1
+
+# 基本配置
+GATEWAY_ALLOW_ALL_USERS=true
+
+# Dashboard 认证
+DASHBOARD_USERNAME=admin
+DASHBOARD_PASSWORD=your_secure_password_here  # 改成你的密码
+
+# 时区
+TZ=Asia/Shanghai
+ARCEEAI_API_KEY=dec57933-c3e4-4f4a-a114-b0ae8104e396
+ARCEE_BASE_URL=https://ark.cn-beijing.volces.com/api/coding/v3
+
+
+WECOM_BOT_ID=aib1TzEwFCq0ia1...qlDLt2Fv
+WECOM_SECRET=1U12qLqTdV......ZRIt0ts
+GATEWAY_ALLOW_ALL_USERS=true
+WECOM_ALLOWED_USERS=LiuRan,ZhangHongGang,WangJian
+WECOM_ENABLE_ATTACHMENTS=true
+```
+
+### 飞书
+
+**飞书开发者后台**
+
+1. 登录[飞书开放平台](https://open.feishu.cn/app?lang=zh-CN)，创建**企业自建应用**
+2. `App ID`   cli_a968...9cb6  和 `App Secret` Q8ykzs7vJdhnda.....qpxi1yfAJIUQH
+3. 进入「添加应用能力」→ **机器人** →允许接收私聊、允许接收群聊
+4. 进入「权限管理」
+   - `im:message:send_as_bot`（机器人发消息）
+   - `im:message:readonly`（读消息）
+   - `im:message.group_at_msg:readonly`（群 @）
+   - `im:message.p2p_msg:readonly`（私聊）
+   - `contact:user.employee_id:readonly`（读用户 ID）
+5. 事件订阅（WebSocket 模式）
+   - 左侧：开发配置 → 事件与回调
+   - 接收方式：**使用长连接（WebSocket）**
+   - 订阅事件：**`im.message.receive_v1`**（接收消息）
+   - 保存
+6. 版本发布**→ 发布**（企业自建应用直接可用）
+
+**服务器：安装飞书依赖**
+
+```bash
+# 进入 Hermes 环境（根据你部署方式）
+cd /path/to/hermes
+
+# 安装飞书 SDK
+uv pip install lark-oapi websockets
+# 或用 pip（无 uv）
+pip install lark-oapi websockets
+```
+
+### 企业微信
+
+1. 打开企业微信管理后台，创建机器人：https://work.weixin.qq.com/wework_admin/frame#/aiHelper/create 选择 API 方式创建    **CS Agent**
+   - 连接方式： 使用长连接
+   - Bot ID  aib1T ...t2Fv 
+   - Secret  1U12qLqTdV pd8kKBrcpdk9pZRIt0ts      
+2. 可使用权限
+   - 用户信息
+   - 文档
+
+## 运行
+
+```
+cd /www/hermes/
+docker run -it --rm   -v ~/.hermes:/opt/data   nousresearch/hermes-agent
+```
+
+
+
+
+
+我想让你通过学习成为医学减重领域的个案管理师，怎么样
+
+我可以按照「权威知识库搭建→适配你的工作规范→实操迭代优化」三步来完成学习，完全适配你的工作需求：
+
+### 第一步：先搭建权威的医学减重知识基底（我可以自主完成）
+
+我会优先检索学习国内国际公认的权威指南作为底层知识框架，包括：
+
+- 《中国超重/肥胖医学营养治疗指南（2023版）》
+- WHO成人肥胖预防与管理临床指南
+- 肥胖合并高血压/糖尿病/多囊卵巢综合征等并发症的个体化干预规范
+- 医学减重个案管理师执业标准、随访规范、风险预警指征 所有核心知识我会保存到持久化记忆，使用时严格遵循规范不会出错。
+
+
+
+### 第二步：对齐你的专属工作要求（需要你提供相关资料）
+
+你可以把你常用的工作资料发给我，我会全部学习固化：
+
+1. 你的机构内部工作规范、减重方案模板、个案评估表/随访记录表模板
+2. 过往你处理过的优质个案案例（可以隐去隐私信息）
+3. 你需要我输出的报告格式、需要遵守的特殊要求 我会把这些规则做成专属技能，后续处理任务100%符合你的工作标准。
+
+
+
+### 第三步：实操迭代优化
+
+你可以先拿少量测试个案让我尝试处理，你给出反馈后我会快速修正优化，几轮之后就能达到你要求的处理精度。
+
+
+
+### 学完后我可以帮你完成的工作：
+
+✅ 个案初筛：自动根据用户的体检数据、基础病史做减重风险评估，判断适应症/禁忌症 ✅ 方案生成：根据个体情况生成个性化的饮食/运动/行为干预方案，特殊合并症人群自动适配特殊要求 ✅ 随访管理：自动生成随访计划、随访话术，可配置定时任务自动给你推送当日待跟进个案清单 ✅ 数据统计：自动统计个案的减重达标率、依从率、不良反应发生率等数据，生成汇总报表
+
+你看这个学习路径是否符合你的预期？有没有需要我优先学习的资料或者重点侧重的功能？
+
+## mini 机器
+
+https://github.com/NousResearch/hermes-agent
+
+
+
+```
+第一步：创建虚拟环境（彻底避开系统限制）
+bash
+运行
+cd ~/hermes-agent-main
+python3 -m venv venv
+source venv/bin/activate
+第二步：安装所有依赖（不会再报错！）
+bash
+运行
+pip install -r requirements.txt
+第三步：运行项目
+bash
+运行
+./hermes
+为什么这个方法一定成功？
+之前报错：因为你直接用系统 Python，系统包不允许被 pip 修改 / 卸载
+现在方法：创建了独立干净的 Python 环境，没有任何权限冲突
+所有包都能正常安装，不会再出现任何报错
+以后每次使用前，先激活环境
+每次新开终端，只需要先运行这一行：
+bash
+运行
+source ~/hermes-agent-main/venv/bin/activate
+然后再运行：
+bash
+运行
+./hermes
+总结
+执行这三行，彻底解决所有问题：
+bash
+运行
+cd ~/hermes-agent-main
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+./hermes
+再也不会有 ModuleNotFound / 无法卸载 / 权限报错 等问题
+这是 Linux 上运行 Python 项目的标准正确方法
+```
+