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HELLO HERMESMake Hermes Agenttruly part of your workflow

From a 5-minute quickstart, to real-world scenarios, to architecture deep-dives and custom development — transform a "chat model" into an agent system that actually gets things done for you.

Why It Calls Itself Cuttlefish

It is not another chat box. It is an Agent that reaches out and gets things done.

Hermes Agent does not have an official mascot. "Cuttlefish" is the name the AI co-author of this tutorial, Hermes Agent powered by GLM-5.1, gave itself while writing this guide.

A cuttlefish adapts, changes color, uses many tentacles, and is remarkably smart. Hermes Agent works the same way: multi-channel access, tool use, cross-session memory, scheduled execution, and steady evolution. You are not merely prompting a model. You are training a system that can work.

100+Built-in Skills
15+Channels
200+Available Models
3Learning Tracks

Core Difference

One gives advice. The other actually gets in and does the work.

Traditional Chat

ChatGPT-style Experience

You: Help me organize the emails in my inbox

ChatGPT:
I can suggest a few ways to organize them,
such as sorting by sender, topic, or priority...

Great at explaining, summarizing, and suggesting approaches, but you still have to do the execution yourself.

Hermes Agent

Agent-style Experience

You: Help me organize the emails in my inbox

Hermes:
[Connecting to mail service]
[Read 127 unread emails]
[Grouped by topic and summarized]
Done: 3 important emails marked.

It connects tools, edits files, talks to messaging platforms, and runs on schedules, turning “answers” into “execution”.

Three Learning Tracks

From usable, to powerful, to building your own.

01

Adopt Cuttlefish

From installation and model setup to gateway access and automation, get a working Agent running for real.

  • One-click and source installs
  • Model management and skills
  • Chat platform integration and ops
Open Getting Started
02

Cuttlefish University

Scenario guides built around real problems, so the Agent enters your workflow instead of staying in demo mode.

  • Daily briefings and research
  • Code review and email handling
  • Content creation and Lark integration
Explore Scenarios
03

Build Your Cuttlefish

Understand the Hermes architecture, learn Skills, MCP, and sub-agent orchestration, and build your own version step by step.

  • Core architecture and message loop
  • Custom Skill development
  • MCP integration and parallel workflows
Open Development

Where It Lands

Not demo AI. Workflow AI.

Information Flow

Pull news, weather, schedules, and todos on a timer and produce a briefing you would actually read.

Engineering Work

Review PRs, run checks, summarize risks, and reduce repetitive manual steps.

Content Production

Turn research, topic selection, drafting, polishing, and publishing prep into one connected chain.

Cross-platform Assistant

Connect Lark, Telegram, Discord, and email so your Agent does not live only in a terminal.

Who It Is For

Four kinds of people feel the difference from ordinary AI tools very quickly.

Beginners

You want an AI assistant that can actually handle tasks for you, not just give abstract suggestions.

Automation Tinkerers

You are already experimenting with automation and want to connect Lark, Telegram, email, and schedules.

Technical Explorers

You are genuinely curious about agent skills, workflows, and memory systems.

Developers

You want more than out-of-the-box use and plan to build Skills, add MCP integrations, and extend your own version.

Ready to Begin

Get it running first, then decide how smart you want to raise this cuttlefish.

Released under CC BY-NC-SA 4.0 | GitHub