修改: "2026 Ubuntu \345\256\211\350\243\205.md"
新文件: "Docker\346\212\200\346\234\257.md" 新文件: "GIT\346\212\200\346\234\257.md" 新文件: "Linux\346\212\200\346\234\257.md" 新文件: "Python\346\212\200\346\234\257.md" 新文件: hermes-agent.md 新文件: "\345\244\207\344\273\275\344\270\216\346\201\242\345\244\215.md" 新文件: "\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
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https://hermes-agent.nousresearch.com/docs/user-guide/docker?_highlight=docker#docker-compose-example
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1.95.126.170
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## 部署
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/www/hermes/docker-compose.yml
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```yml
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services:
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hermes:
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image: nousresearch/hermes-agent:latest
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container_name: hermes
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restart: unless-stopped
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command: gateway run
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ports:
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- "8642:8642"
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volumes:
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- ~/.hermes:/opt/data
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networks:
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- hermes-net
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# Uncomment to forward specific env vars instead of using .env file:
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# environment:
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# - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}
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# - OPENAI_API_KEY=${OPENAI_API_KEY}
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# - TELEGRAM_BOT_TOKEN=${TELEGRAM_BOT_TOKEN}
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deploy:
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resources:
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limits:
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memory: 4G
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cpus: "2.0"
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dashboard:
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image: nousresearch/hermes-agent:latest
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container_name: hermes-dashboard
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restart: unless-stopped
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command: dashboard --host 0.0.0.0 --insecure
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ports:
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- "9119:9119"
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volumes:
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- ~/.hermes:/opt/data
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environment:
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- GATEWAY_HEALTH_URL=http://hermes:8642
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networks:
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- hermes-net
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depends_on:
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- hermes
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deploy:
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resources:
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limits:
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memory: 512M
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cpus: "0.5"
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networks:
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hermes-net:
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driver: bridge
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```
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## 配置
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cat ~/.hermes/.env 配置仪表盘、模型、消息平台
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```ini
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# Hermes Agent Environment Configuration
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# Copy this file to .env and fill in your API keys
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# =============================================================================
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# LLM PROVIDER (OpenRouter)
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# =============================================================================
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||||
# OpenRouter provides access to many models through one API
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# All LLM calls go through OpenRouter - no direct provider keys needed
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||||
# Get your key at: https://openrouter.ai/keys
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# OPENROUTER_API_KEY=
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# Default model is configured in ~/.hermes/config.yaml (model.default).
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# Use 'hermes model' or 'hermes setup' to change it.
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# LLM_MODEL is no longer read from .env — this line is kept for reference only.
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# LLM_MODEL=anthropic/claude-opus-4.6
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# =============================================================================
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# LLM PROVIDER (Google AI Studio / Gemini)
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# =============================================================================
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# Native Gemini API via Google's OpenAI-compatible endpoint.
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# Get your key at: https://aistudio.google.com/app/apikey
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# GOOGLE_API_KEY=your_google_ai_studio_key_here
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# GEMINI_API_KEY=your_gemini_key_here # alias for GOOGLE_API_KEY
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# Optional base URL override (default: Google's OpenAI-compatible endpoint)
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# GEMINI_BASE_URL=https://generativelanguage.googleapis.com/v1beta/openai
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||||
# =============================================================================
|
||||
# LLM PROVIDER (z.ai / GLM)
|
||||
# =============================================================================
|
||||
# z.ai provides access to ZhipuAI GLM models (GLM-4-Plus, etc.)
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# Get your key at: https://z.ai or https://open.bigmodel.cn
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||||
# GLM_API_KEY=
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||||
# GLM_BASE_URL=https://api.z.ai/api/paas/v4 # Override default base URL
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||||
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||||
# =============================================================================
|
||||
# LLM PROVIDER (Kimi / Moonshot)
|
||||
# =============================================================================
|
||||
# Kimi Code provides access to Moonshot AI coding models (kimi-k2.5, etc.)
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# Get your key at: https://platform.kimi.ai (Kimi Code console)
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# Keys prefixed sk-kimi- use the Kimi Code API (api.kimi.com) by default.
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||||
# Legacy keys from platform.moonshot.ai need KIMI_BASE_URL override below.
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# KIMI_API_KEY=
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# KIMI_BASE_URL=https://api.kimi.com/coding/v1 # Default for sk-kimi- keys
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||||
# KIMI_BASE_URL=https://api.moonshot.ai/v1 # For legacy Moonshot keys
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||||
# KIMI_BASE_URL=https://api.moonshot.cn/v1 # For Moonshot China keys
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||||
# KIMI_CN_API_KEY= # Dedicated Moonshot China key
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||||
# =============================================================================
|
||||
# LLM PROVIDER (Arcee AI)
|
||||
# =============================================================================
|
||||
# Arcee AI provides access to Trinity models (trinity-mini, trinity-large-*)
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||||
# Get an Arcee key at: https://chat.arcee.ai/
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||||
# ARCEEAI_API_KEY=
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||||
# ARCEE_BASE_URL= # Override default base URL
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||||
|
||||
# =============================================================================
|
||||
# LLM PROVIDER (MiniMax)
|
||||
# =============================================================================
|
||||
# MiniMax provides access to MiniMax models (global endpoint)
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||||
# Get your key at: https://www.minimax.io
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||||
# 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=
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||||
# 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
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||||
# OPENCODE_ZEN_API_KEY=
|
||||
# OPENCODE_ZEN_BASE_URL=https://opencode.ai/zen/v1 # Override default base URL
|
||||
A
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||||
|
||||
# =============================================================================
|
||||
# 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
|
||||
```
|
||||
|
||||
Reference in New Issue
Block a user