Hermes 谁用谁舒服！超级应用研发！

强化 fork 版、阿里云记忆插件、Felo 营销技能包、Awesome 社区圣经、轻量 Web UI…… 全网程序员把 Hermes 玩成了下一代 Agent 深度 hack 神器 + 云端集体大脑 + 内容超级英雄 + 导航地图 + 移动指挥台：

hermes-agent-fork（https://github.com/morph-labs/hermes-agent-fork…）

强化 fork 版，保留自进化循环 + OpenClaw 迁移优化 + 子 Agent 并行。 深度玩家直接上手 hack！

hermes-tablestore-memory（https://github.com/aliyun/hermes-tablestore-memory…）

阿里云 Tablestore 云端记忆插件，多 Agent 共享语义搜索。 记忆从本地进化成“集体大脑”！

felo-skills（https://github.com/Felo-Inc/felo-skills…）

Felo 营销/内容/超级 Agent 技能大礼包，一键 installer。 内容党直接起飞！

awesome-hermes-agent（https://github.com/0xNyk/awesome-hermes-agent…）

1.7k+ star 社区圣经，skills/tools/forks 全收录。 Hermes 玩家的“导航地图”实锤！

hermes-webui（https://github.com/nesquena/hermes-webui…）

轻量暗黑 Web UI，浏览器/手机聊天 + 实时流 + 记忆查看 + 技能编辑。 “手机上指挥 Agent”天花板！

morph-labs/hermes-agent-fork

Source: https://github.com/morph-labs/hermes-agent-fork

Hermes Agent ☤

The self-improving AI agent built by Nous Research. It’s the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It’s not tied to your laptop — talk to it from Telegram while it works on a cloud VM.

Use any model you want — Nous Portal, OpenRouter (200+ models), z.ai/GLM, Kimi/Moonshot, MiniMax, OpenAI, or your own endpoint. Switch with hermes model — no code changes, no lock-in.

Quick Install

curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

Works on Linux, macOS, and WSL2. The installer handles everything — Python, Node.js, dependencies, and the hermes command. No prerequisites except git.

Windows: Native Windows is not supported. Please install WSL2 and run the command above.

After installation:

source ~/.bashrc    # reload shell (or: source ~/.zshrc)
hermes              # start chatting!

Getting Started

hermes              # Interactive CLI — start a conversation
hermes model        # Choose your LLM provider and model
hermes tools        # Configure which tools are enabled
hermes config set   # Set individual config values
hermes gateway      # Start the messaging gateway (Telegram, Discord, etc.)
hermes setup        # Run the full setup wizard (configures everything at once)
hermes claw migrate # Migrate from OpenClaw (if coming from OpenClaw)
hermes update       # Update to the latest version
hermes doctor       # Diagnose any issues

📖 Full documentation →

CLI vs Messaging Quick Reference

Hermes has two entry points: start the terminal UI with hermes, or run the gateway and talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or Email. Once you’re in a conversation, many slash commands are shared across both interfaces.

For the full command lists, see the CLI guide and the Messaging Gateway guide.

Documentation

All documentation lives at hermes-agent.nousresearch.com/docs:

Migrating from OpenClaw

If you’re coming from OpenClaw, Hermes can automatically import your settings, memories, skills, and API keys.

During first-time setup: The setup wizard (hermes setup) automatically detects ~/.openclaw and offers to migrate before configuration begins.

Anytime after install:

hermes claw migrate              # Interactive migration (full preset)
hermes claw migrate --dry-run    # Preview what would be migrated
hermes claw migrate --preset user-data   # Migrate without secrets
hermes claw migrate --overwrite  # Overwrite existing conflicts

What gets imported:

• SOUL.md — persona file
• Memories — MEMORY.md and USER.md entries
• Skills — user-created skills → ~/.hermes/skills/openclaw-imports/
• Command allowlist — approval patterns
• Messaging settings — platform configs, allowed users, working directory
• API keys — allowlisted secrets (Telegram, OpenRouter, OpenAI, Anthropic, ElevenLabs)
• TTS assets — workspace audio files
• Workspace instructions — AGENTS.md (with --workspace-target)

See hermes claw migrate --help for all options, or use the openclaw-migration skill for an interactive agent-guided migration with dry-run previews.

Contributing

We welcome contributions! See the Contributing Guide for development setup, code style, and PR process.

Quick start for contributors:

git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
git submodule update --init mini-swe-agent   # required terminal backend
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[all,dev]"
uv pip install -e "./mini-swe-agent"
python -m pytest tests/ -q

RL Training (optional): To work on the RL/Tinker-Atropos integration, also run:

git submodule update --init tinker-atropos
uv pip install -e "./tinker-atropos"

Community

• 💬 Discord
• 📚 Skills Hub
• 🐛 Issues
• 💡 Discussions

License

MIT — see LICENSE.

Built by Nous Research.

GitTrend (@GitTrend0x): Hermes 继续自进化冲超级体！

Humanizer 去 AI 痕迹、Obsidian 身份层、Taste 风格记忆、AutoShorts 短视频工厂、Creative Brain 采访大脑……全网程序员把 Hermes 玩成了下一代 Agent 真人写手 + 私人知识永存 + 风格记忆大师 + 病毒短视频工厂 + 创意灵魂引擎。

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