Awesome Hermes Agent Ecosystem

优秀Hermes Agent生态系统

Skill by ara.so — AI Agent Skills collection.

This skill provides comprehensive knowledge of the Hermes Agent ecosystem maintained at 0xNyk/awesome-hermes-agent. Hermes Agent by Nous Research is a self-improving AI agent with built-in learning loop, autonomous skill curation, and 18-platform messaging support.

由ara.so提供的Skill——AI Agent技能集合。

本Skill提供了由0xNyk/awesome-hermes-agent维护的Hermes Agent生态系统的全面知识。Nous Research开发的Hermes Agent是一款具备内置学习循环、自主技能管理以及支持18种平台消息功能的自我改进型AI Agent。

What is Hermes Agent?

什么是Hermes Agent？

Hermes Agent is the only agent with:

Built-in learning loop — creates skills from experience and improves them during use
Autonomous Curator (v0.12.0+) — maintains its own skill library with 7-day grade/consolidate/prune cycles
18 messaging platforms — Telegram, Discord, Slack, WhatsApp, Signal, Feishu/Lark, WeCom, QQBot, Yuanbao, and more
7 terminal backends — local, Docker, SSH, Singularity, Modal, Daytona, Vercel Sandbox
Conversational memory — searches past conversations and builds user model across sessions

Core repository: NousResearch/hermes-agent (134k+ stars)

Hermes Agent是唯一具备以下特性的Agent：

内置学习循环——从经验中创建技能，并在使用过程中不断改进
自主管理器（v0.12.0+）——通过7天的评级/整合/修剪周期维护自身技能库
18种消息平台支持——Telegram、Discord、Slack、WhatsApp、Signal、飞书/Lark、企业微信、QQBot、元宝等
7种终端后端——本地、Docker、SSH、Singularity、Modal、Daytona、Vercel Sandbox
对话记忆——搜索过往对话，并跨会话构建用户模型

核心仓库：NousResearch/hermes-agent（134k+星标）

Quick Start Path

快速入门路径

1. Install Hermes Agent

1. 安装Hermes Agent

bash

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bash

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Clone the repository

git clone https://github.com/NousResearch/hermes-agent.git cd hermes-agent

Install dependencies (Python 3.10+)

pip install -e .

Configure API keys

export ANTHROPIC_API_KEY="your_key_here"

or use .env file

cp .env.example .env

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cp .env.example .env

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2. First Conversation

2. 首次对话

bash

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bash

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Start interactive CLI

hermes

Or one-off command

hermes "analyze this codebase and suggest improvements"

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hermes "analyze this codebase and suggest improvements"

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3. Add Your First Skills

3. 添加首个技能

Option A: Cross-platform skills (wondelai)

bash

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选项A：跨平台技能（wondelai）

bash

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Clone wondelai/skills (380+ stars, production-ready)

cd ~/.hermes/skills git clone https://github.com/wondelai/skills.git wondelai

Skills auto-discovered on next run

hermes "use the youtube search skill to find videos about agent frameworks"


**Option B: Literate programming (litprog-skill)**
```bash

hermes "use the youtube search skill to find videos about agent frameworks"


**选项B：文学编程（litprog-skill）**
```bash

Clone litprog-skill for code + documentation workflows

cd ~/.hermes/skills git clone https://github.com/tlehman/litprog-skill.git

Use literate programming

hermes "create a literate program that implements a binary tree"

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hermes "create a literate program that implements a binary tree"

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4. Add a GUI

4. 添加GUI界面

Option A: Hermes-native workspace

bash

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选项A：Hermes原生工作区

bash

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Clone hermes-workspace (500+ stars)

git clone https://github.com/outsourc-e/hermes-workspace.git cd hermes-workspace npm install npm run dev

Access at http://localhost:3000


**Option B: Multi-agent orchestration**
```bash


**选项B：多Agent编排**
```bash

Clone mission-control (3.7k+ stars)

git clone https://github.com/builderz-labs/mission-control.git cd mission-control docker-compose up -d

Access at http://localhost:8080

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Key Configuration

关键配置

Profile System (Multi-Instance)

配置文件系统（多实例）

yaml

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yaml

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~/.hermes/profiles/work.yaml

name: work messaging_platform: slack terminal_backend: docker model: claude-opus-4 memory: conversation_window: 50 auto_summarize: true


```bash

name: work messaging_platform: slack terminal_backend: docker model: claude-opus-4 memory: conversation_window: 50 auto_summarize: true


```bash

Use specific profile

hermes --profile work "analyze the sales dashboard"

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hermes --profile work "analyze the sales dashboard"

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Cron Scheduling

定时任务调度

yaml

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yaml

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~/.hermes/cron.yaml

jobs:

name: daily-standup schedule: "0 9 * * 1-5" # 9 AM weekdays command: "summarize yesterday's commits and create standup report"
name: skill-curator schedule: "0 2 * * 0" # 2 AM Sundays command: "hermes curator --grade --consolidate --prune"

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jobs:

name: daily-standup schedule: "0 9 * * 1-5" # 工作日上午9点 command: "summarize yesterday's commits and create standup report"
name: skill-curator schedule: "0 2 * * 0" # 周日凌晨2点 command: "hermes curator --grade --consolidate --prune"

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Messaging Gateway Setup

消息网关设置

bash

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bash

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Telegram

export TELEGRAM_BOT_TOKEN="your_token" hermes --messaging telegram

Discord

export DISCORD_BOT_TOKEN="your_token" hermes --messaging discord

Slack

export SLACK_BOT_TOKEN="xoxb-your-token" export SLACK_APP_TOKEN="xapp-your-token" hermes --messaging slack

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export SLACK_BOT_TOKEN="xoxb-your-token" export SLACK_APP_TOKEN="xapp-your-token" hermes --messaging slack

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Essential Skills & Plugins

核心技能与插件

Goal Management & Cost Control

目标管理与成本控制

bash

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bash

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Install hermes-plugins (42-evey)

cd ~/.hermes/skills git clone https://github.com/42-evey/hermes-plugins.git

Usage examples

hermes "set a goal to refactor the authentication module by Friday" hermes "show me this week's API cost breakdown by model" hermes "switch to claude-sonnet for this task to save costs"

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hermes "set a goal to refactor the authentication module by Friday" hermes "show me this week's API cost breakdown by model" hermes "switch to claude-sonnet for this task to save costs"

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Inter-Agent Communication

Agent间通信

bash

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bash

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Using hermes-plugins inter-agent bridge

Terminal 1: Agent A

hermes --profile researcher --port 8001

Terminal 2: Agent B

hermes --profile writer --port 8002

Agent A to Agent B

hermes "send to writer agent: use this research summary to write a blog post"

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hermes "send to writer agent: use this research summary to write a blog post"

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Incident Response (SRE)

事件响应（SRE）

bash

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bash

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Install hermes-incident-commander

cd ~/.hermes/skills git clone https://github.com/Lethe044/hermes-incident-commander.git

Cron-based monitoring

hermes "monitor production services and alert on failures"

Manual incident handling

hermes "diagnose why the API is returning 503 errors and apply a fix"

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hermes "diagnose why the API is returning 503 errors and apply a fix"

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Spotify Control (Linux/Raspberry Pi)

Spotify控制（Linux/树莓派）

bash

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bash

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Install hermes-spotify-skill (Linux-native)

cd ~/.hermes/skills git clone https://github.com/Alexeyisme/hermes-spotify-skill.git

Configure Spotify credentials

export SPOTIPY_CLIENT_ID="your_client_id" export SPOTIPY_CLIENT_SECRET="your_client_secret" export SPOTIPY_REDIRECT_URI="http://localhost:8888/callback"

Usage

hermes "play lo-fi hip hop on Spotify" hermes "skip to the next track" hermes "transfer playback to my Raspberry Pi speaker"

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hermes "play lo-fi hip hop on Spotify" hermes "skip to the next track" hermes "transfer playback to my Raspberry Pi speaker"

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Self-Hosted Cloud Integration (Nextcloud)

自建云集成（Nextcloud）

bash

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bash

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Install hermes-nextcloud

cd ~/.hermes/skills git clone https://github.com/adnw-vinc/hermes-nextcloud.git

Configure

export NEXTCLOUD_URL="https://your-nextcloud.example.com" export NEXTCLOUD_USERNAME="your_username" export NEXTCLOUD_APP_PASSWORD="your_app_password"

Usage

hermes "list my nextcloud files" hermes "create a note about today's meeting in nextcloud" hermes "show my calendar for next week"

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hermes "list my nextcloud files" hermes "create a note about today's meeting in nextcloud" hermes "show my calendar for next week"

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Deployment Patterns

部署模式

Production VPS Deployment

生产环境VPS部署

bash

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bash

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Systemd service

cat > /etc/systemd/system/hermes.service <<EOF [Unit] Description=Hermes Agent After=network.target

[Service] Type=simple User=hermes WorkingDirectory=/opt/hermes-agent Environment="ANTHROPIC_API_KEY=your_key" ExecStart=/usr/bin/hermes --messaging telegram --profile production Restart=always

[Install] WantedBy=multi-user.target EOF

sudo systemctl enable hermes sudo systemctl start hermes

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cat > /etc/systemd/system/hermes.service <<EOF [Unit] Description=Hermes Agent After=network.target

[Service] Type=simple User=hermes WorkingDirectory=/opt/hermes-agent Environment="ANTHROPIC_API_KEY=your_key" ExecStart=/usr/bin/hermes --messaging telegram --profile production Restart=always

[Install] WantedBy=multi-user.target EOF

sudo systemctl enable hermes sudo systemctl start hermes

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Docker Deployment

Docker部署

dockerfile

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dockerfile

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Dockerfile

FROM python:3.11-slim

WORKDIR /app COPY . . RUN pip install -e .

ENV ANTHROPIC_API_KEY="" ENV TELEGRAM_BOT_TOKEN=""

CMD ["hermes", "--messaging", "telegram"]


```bash

FROM python:3.11-slim

WORKDIR /app COPY . . RUN pip install -e .

ENV ANTHROPIC_API_KEY="" ENV TELEGRAM_BOT_TOKEN=""

CMD ["hermes", "--messaging", "telegram"]


```bash

Build and run

docker build -t hermes-agent . docker run -d
-e ANTHROPIC_API_KEY="$ANTHROPIC_API_KEY"
-e TELEGRAM_BOT_TOKEN="$TELEGRAM_BOT_TOKEN"
-v ~/.hermes:/root/.hermes
--name hermes
hermes-agent

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docker build -t hermes-agent . docker run -d
-e ANTHROPIC_API_KEY="$ANTHROPIC_API_KEY"
-e TELEGRAM_BOT_TOKEN="$TELEGRAM_BOT_TOKEN"
-v ~/.hermes:/root/.hermes
--name hermes
hermes-agent

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Vercel Sandbox Deployment

Vercel Sandbox部署

bash

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bash

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Use Vercel Sandbox backend (serverless)

hermes --terminal vercel-sandbox "deploy this Next.js app"

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hermes --terminal vercel-sandbox "deploy this Next.js app"

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Modal Deployment (Serverless GPU)

Modal部署（无服务器GPU）

bash

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bash

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Use Modal for GPU-intensive tasks

hermes --terminal modal "train this model on the full dataset"

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hermes --terminal modal "train this model on the full dataset"

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Multi-Agent Orchestration

多Agent编排

Using oh-my-hermes Suite

使用oh-my-hermes套件

bash

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bash

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Install oh-my-hermes (witt3rd)

cd ~/.hermes/skills git clone https://github.com/witt3rd/oh-my-hermes.git

Deep research workflow

hermes "research the state of agent frameworks using deep-research skill"

Consensus planning (Planner → Architect → Critic)

hermes "create a ralplan for building a distributed task queue"

Verified execution (execute → verify → iterate)

hermes "implement the task queue using ralph skill"

Full autopilot

hermes "autopilot: research agent frameworks, plan architecture, implement MVP"

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hermes "autopilot: research agent frameworks, plan architecture, implement MVP"

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Inter-Agent Bridge Pattern

Agent间桥接模式

python

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python

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In agent A's skill

def send_to_agent(target_agent: str, message: str, port: int): """Send message to another Hermes instance""" import requests

response = requests.post(
    f"http://localhost:{port}/api/message",
    json={"message": message}
)
return response.json()

def send_to_agent(target_agent: str, message: str, port: int): """Send message to another Hermes instance""" import requests

response = requests.post(
    f"http://localhost:{port}/api/message",
    json={"message": message}
)
return response.json()

Usage

send_to_agent("writer", "Use this data to write a report", port=8002)

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send_to_agent("writer", "Use this data to write a report", port=8002)

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MCP (Model Context Protocol) Integration

MCP（模型上下文协议）集成

bash

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bash

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List available MCP servers

hermes "list mcp servers"

Use MCP server

hermes "use the filesystem MCP server to read project files"

Configure custom MCP server

cat > ~/.hermes/mcp-servers.json <<EOF { "servers": { "custom-db": { "command": "node", "args": ["/path/to/db-mcp-server/index.js"], "env": { "DB_CONNECTION_STRING": "postgresql://..." } } } } EOF

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cat > ~/.hermes/mcp-servers.json <<EOF { "servers": { "custom-db": { "command": "node", "args": ["/path/to/db-mcp-server/index.js"], "env": { "DB_CONNECTION_STRING": "postgresql://..." } } } } EOF

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Memory System

记忆系统

Conversational Memory

对话记忆

bash

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bash

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Search past conversations

hermes "what did we discuss about authentication last week?"

Summarize conversation history

hermes "summarize all our discussions about the API redesign"

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hermes "summarize all our discussions about the API redesign"

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Skill Memory

技能记忆

bash

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bash

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Skills automatically improve from experience

After using a skill multiple times:

hermes "show me how the 'api-integration' skill has evolved"

Curator grades skills automatically (v0.12.0+)

hermes curator --report

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hermes curator --report

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Advanced Patterns

进阶模式

Self-Improving Skill Factory

自我改进技能工厂

bash

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bash

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Install hermes-skill-factory

cd ~/.hermes/skills git clone https://github.com/Romanescu11/hermes-skill-factory.git

Auto-generate skill from workflow

hermes "watch me deploy this app, then create a reusable deployment skill"

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hermes "watch me deploy this app, then create a reusable deployment skill"

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Personal Obsidian API

个人Obsidian API

bash

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bash

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Install personal-api skill

cd ~/.hermes/skills git clone https://github.com/beiyuii/personal-api-skill.git

Point to your Obsidian vault

export OBSIDIAN_VAULT_PATH="$HOME/Documents/Obsidian"

Usage

hermes "read my daily notes and suggest priorities" hermes "what did I write about agent frameworks?"

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hermes "read my daily notes and suggest priorities" hermes "what did I write about agent frameworks?"

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Accumulator Betting Tracker

累积投注追踪器

bash

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bash

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Install acca-tracker (sports betting multi-leg tracking)

cd ~/.hermes/skills git clone https://github.com/svenmedina07-ship-it/skills.git cd skills/acca-tracker

Configure cron for 15-minute updates

hermes "set up acca tracking cron job"

Manual check

hermes "check my accumulator bet status"

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hermes "check my accumulator bet status"

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API Server Mode

API服务器模式

bash

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bash

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Start Hermes as API server

hermes serve --port 8080

Use REST API

curl -X POST http://localhost:8080/api/chat
-H "Content-Type: application/json"
-d '{"message": "analyze this code", "context": {"file": "main.py"}}'


```python

curl -X POST http://localhost:8080/api/chat
-H "Content-Type: application/json"
-d '{"message": "analyze this code", "context": {"file": "main.py"}}'


```python

Python client

import requests

def ask_hermes(message: str, context: dict = None): response = requests.post( "http://localhost:8080/api/chat", json={"message": message, "context": context or {}} ) return response.json()["response"]

import requests

def ask_hermes(message: str, context: dict = None): response = requests.post( "http://localhost:8080/api/chat", json={"message": message, "context": context or {}} ) return response.json()["response"]

Usage

result = ask_hermes("refactor this function", context={"file": "utils.py"})

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result = ask_hermes("refactor this function", context={"file": "utils.py"})

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Troubleshooting

故障排除

Skills Not Loading

技能未加载

bash

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bash

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Check skills directory

ls -la ~/.hermes/skills/

Verify skill structure (needs skill.md or SKILL.md)

cat ~/.hermes/skills/your-skill/skill.md

Force reload

hermes --reload-skills "list available skills"

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hermes --reload-skills "list available skills"

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Memory Issues

记忆问题

bash

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bash

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Clear conversation history

hermes clear-history

Reduce memory window in profile

~/.hermes/profiles/default.yaml

memory: conversation_window: 20 # Reduce from default 50

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memory: conversation_window: 20 # Reduce from default 50

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Curator Failures

管理器故障

bash

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bash

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Manual curator run with debug

hermes curator --grade --verbose

Skip consolidation if stuck

hermes curator --grade --prune --skip-consolidate

Reset curator state

rm ~/.hermes/curator/state.json

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rm ~/.hermes/curator/state.json

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Messaging Gateway Issues

消息网关问题

bash

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bash

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Test connection

hermes --messaging telegram --test-connection

Debug webhook (for platforms like Telegram)

export HERMES_WEBHOOK_URL="https://your-domain.com/webhook" hermes --messaging telegram --debug

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export HERMES_WEBHOOK_URL="https://your-domain.com/webhook" hermes --messaging telegram --debug

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Terminal Backend Failures

终端后端故障

bash

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bash

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Test Docker backend

docker ps # Ensure Docker is running hermes --terminal docker "echo test"

Fallback to local execution

hermes --terminal local "echo test"

SSH backend with custom key

hermes --terminal ssh
--ssh-host "192.168.1.100"
--ssh-user "ubuntu"
--ssh-key "~/.ssh/hermes_key"

undefined

hermes --terminal ssh
--ssh-host "192.168.1.100"
--ssh-user "ubuntu"
--ssh-key "~/.ssh/hermes_key"

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Common Workflows

常见工作流

Daily Standup Automation

每日站会自动化

yaml

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yaml

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~/.hermes/cron.yaml

jobs:

name: daily-standup schedule: "0 9 * * 1-5" command: | summarize yesterday's git commits, check open GitHub issues assigned to me, create standup report and post to #standup Slack channel

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jobs:

name: daily-standup schedule: "0 9 * * 1-5" command: | summarize yesterday's git commits, check open GitHub issues assigned to me, create standup report and post to #standup Slack channel

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Code Review Assistant

代码审查助手

bash

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bash

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Review pull request

hermes "review PR #123 on GitHub and provide feedback"

Continuous code quality

hermes "monitor the main branch and flag potential issues after each push"

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hermes "monitor the main branch and flag potential issues after each push"

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Documentation Generator

文档生成器

bash

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bash

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Generate docs from code

hermes "analyze src/ and generate API documentation in docs/"

Keep docs in sync

hermes "watch src/ and update docs/ whenever code changes"

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hermes "watch src/ and update docs/ whenever code changes"

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Ecosystem Resources

生态系统资源

Official docs: https://hermes-agent.nousresearch.com/docs/
Discord community: https://discord.gg/NousResearch
Skills hub: https://agentskills.io
Release notes: https://github.com/NousResearch/hermes-agent/releases
Awesome list: https://github.com/0xNyk/awesome-hermes-agent

官方文档: https://hermes-agent.nousresearch.com/docs/
Discord社区: https://discord.gg/NousResearch
技能中心: https://agentskills.io
发布说明: https://github.com/NousResearch/hermes-agent/releases
精选列表: https://github.com/0xNyk/awesome-hermes-agent

Maturity Tags

成熟度标签

When exploring the ecosystem, note these maturity indicators:

production — Stable, documented, actively maintained
beta — Works but evolving, expect some rough edges
experimental — Proof of concept, learn from it but don't depend on it

探索生态系统时，请注意以下成熟度指标：

production — 稳定、文档完善、持续维护
beta — 可正常使用但仍在演进，可能存在一些不完善之处
experimental — 概念验证，可参考学习但不建议用于生产环境

Getting Help

获取帮助

bash

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bash

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Built-in help

hermes --help

Skill-specific help

hermes "explain the youtube-search skill"

Community support

Post in Discord #hermes-agent channel with:

hermes "generate a debug report" > debug.txt

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hermes "generate a debug report" > debug.txt

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awesome-hermes-agent-ecosystem

Original

Translation

Awesome Hermes Agent Ecosystem

优秀Hermes Agent生态系统

What is Hermes Agent?

什么是Hermes Agent？

Quick Start Path

快速入门路径

1. Install Hermes Agent

1. 安装Hermes Agent

Clone the repository

Clone the repository

Install dependencies (Python 3.10+)

Install dependencies (Python 3.10+)

Configure API keys

Configure API keys

or use .env file

or use .env file

2. First Conversation

2. 首次对话

Start interactive CLI

Start interactive CLI

Or one-off command

Or one-off command

3. Add Your First Skills

3. 添加首个技能

Clone wondelai/skills (380+ stars, production-ready)

Clone wondelai/skills (380+ stars, production-ready)

Skills auto-discovered on next run

Skills auto-discovered on next run

Clone litprog-skill for code + documentation workflows

Clone litprog-skill for code + documentation workflows

Use literate programming

Use literate programming

4. Add a GUI

4. 添加GUI界面

Clone hermes-workspace (500+ stars)

Clone hermes-workspace (500+ stars)

Access at http://localhost:3000

Access at http://localhost:3000

Clone mission-control (3.7k+ stars)

Clone mission-control (3.7k+ stars)

Access at http://localhost:8080

Access at http://localhost:8080

Key Configuration

关键配置

Profile System (Multi-Instance)

配置文件系统（多实例）

~/.hermes/profiles/work.yaml

~/.hermes/profiles/work.yaml

Use specific profile

Use specific profile

Cron Scheduling

定时任务调度

~/.hermes/cron.yaml

~/.hermes/cron.yaml

Messaging Gateway Setup

消息网关设置

Telegram

Telegram

Discord

Discord

Slack

Slack

Essential Skills & Plugins

核心技能与插件

Goal Management & Cost Control

目标管理与成本控制

Install hermes-plugins (42-evey)

Install hermes-plugins (42-evey)

Usage examples

Usage examples

Inter-Agent Communication

Agent间通信

Using hermes-plugins inter-agent bridge

Using hermes-plugins inter-agent bridge

Terminal 1: Agent A

Terminal 1: Agent A

Terminal 2: Agent B