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Learn Hermes Agent

Learn Hermes Agent is a 27-chapter, code-first Python tutorial repository that teaches readers to construct an autonomous AI agent using explanations and chapter-level reference implementations.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Learn Hermes Agent — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want a staged, code-first route from a minimal Python agent loop toward persistence, tools, gateways, and advanced agent mechanisms.

Who it is for

  • Python developers who know basic functions, classes, and async/await and want to learn agent-system design.
  • Learners who want to study agent loops, tool dispatch, persistence, memory, skills, or messaging-platform gateways in code.

Documented uses

  • Trace how a conversation loop sends messages, executes tool calls, appends results, and continues.
  • Study a persistent session store and cross-session memory design.
  • Learn how to structure tool registries, prompts, skills, and permission checks.
  • Explore tutorial material for MCP and gateways spanning Telegram, Discord, Slack, and WeChat.
Before you choose

Requirements & limits

The repository is public and specifies the MIT license.

  • The intended reader already knows basic Python, including async/await.
  • The tutorial spans 27 chapters and recommends following its staged order rather than opening chapters at random.
  • Chapter 24 is documentation-only; it does not include a runnable reference implementation.
  • Running the first example requires installing repository dependencies and configuring an API key.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Set up the chapter-one agent example

Prepare the repository and run the documented first agent-loop example.

Before you start

  • Python environment suitable for the repository requirements
  • An API key for the configured model provider

Steps

  1. Clone the repository and change into the learn-hermes-agent directory.

  2. Install dependencies with pip install -r requirements.txt.

  3. Copy .env.example to .env and configure the API key.

  4. Run python agents/s01_agent_loop.py.

Expected outcome

The chapter-one agent-loop example is invoked after the documented setup.

Guide limitations

  • The README does not identify a specific model provider or detail API-key configuration beyond using .env.
  • Chapter 24 has documentation but no runnable reference implementation.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Sources checked
15 October 2026
Original website title
longyunfeigu/learn-hermes-agent · Official homepage title · retained in its source language
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