--- sidebar_position: 3 title: 'Learning Path' description: 'Choose your learning path through the Hermes Agent documentation based on your experience level and goals.'
Learning Path
Hermes Agent can do a lot — CLI assistant, Telegram/Discord bot, task automation, RL training, and more. This page helps you figure out where to start and what to read based on your experience level and what you're trying to accomplish.
:::tip Start Here If you haven't installed Hermes Agent yet, begin with the Installation guide and then run through the 快速上手. Everything below assumes you have a working installation.
How to Use This Page
- Know your level? Jump to the experience-level table and follow the reading order for your tier.
- Have a specific goal? Skip to By Use Case and find the scenario that matches.
- Just browsing? Check the 核心特性 table for a quick overview of everything Hermes Agent can do.
By Experience Level
| Level | Goal | Recommended Reading | Time Estimate |
|---|---|---|---|
| Beginner | Get up and running, have basic conversations, use built-in tools | 安装指南 → 快速上手 → CLI 使用 → 配置详解 | ~1 hour |
| Intermediate | Set up messaging bots, use advanced features like memory, cron jobs, and skills | Sessions → Messaging → Tools → 技能系统 → 记忆系统 → Cron | ~2–3 hours |
| Advanced | Build custom tools, create skills, train models with RL, contribute to the project | 架构概览 → Adding Tools → Creating Skills → RL Training → 贡献指南 | ~4–6 hours |
By Use Case
Pick the scenario that matches what you want to do. Each one links you to the relevant docs in the order you should read them.
"I want a CLI coding assistant"
Use Hermes Agent as an interactive terminal assistant for writing, reviewing, and running code.
"I want a Telegram/Discord bot"
Deploy Hermes Agent as a bot on your favorite messaging platform.
For full project examples, see: - Daily Briefing Bot - Team Telegram Assistant
"I want to automate tasks"
Schedule recurring tasks, run batch jobs, or chain agent actions together.
"I want to build custom tools/skills"
Extend Hermes Agent with your own tools and reusable skill packages.
"I want to train models"
Use reinforcement learning to fine-tune model behavior with Hermes Agent's built-in RL training pipeline.
"I want to use it as a Python library"
Integrate Hermes Agent into your own Python applications programmatically.
Key Features at a Glance
Not sure what's available? Here's a quick directory of major features:
| Feature | What It Does | Link |
|---|---|---|
| Tools | Built-in tools the agent can call (file I/O, search, shell, etc.) | Tools |
| 技能系统 | Installable plugin packages that add new capabilities | 技能系统 |
| 记忆系统 | Persistent memory across sessions | 记忆系统 |
| 上下文文件 | Feed files and directories into conversations | 上下文文件 |
| MCP | Connect to external tool servers via Model Context Protocol | MCP |
| Cron | Schedule recurring agent tasks | Cron |
| Delegation | Spawn sub-agents for parallel work | Delegation |
| Code Execution | Run Python scripts that call Hermes tools programmatically | Code Execution |
| Browser | Web browsing and scraping | Browser |
| Hooks | Event-driven callbacks and middleware | Hooks |
| Batch Processing | Process multiple inputs in bulk | Batch Processing |
| RL Training | Fine-tune models with reinforcement learning | RL Training |
| Provider Routing | Route requests across multiple LLM providers | Provider Routing |
What to Read Next
Based on where you are right now:
- Just finished installing? → Head to the 快速上手 to run your first conversation.
- Completed the Quickstart? → Read CLI 使用 and 配置详解 to customize your setup.
- Comfortable with the basics? → Explore Tools, 技能系统, and 记忆系统 to unlock the full power of the agent.
- Setting up for a team? → Read 安全设置 and Sessions to understand access control and conversation management.
- Ready to build? → Jump into the Developer Guide to understand the internals and start contributing.
- Want practical examples? → Check out the Guides section for real-world projects and tips.