by longyunfeigu · MCP Server · ★ 106
A 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution — inspired by Hermes Agent.
| Stars | 106 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 51.15/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-14 |
| Created | 2026-04-13 |
| Platforms | mcp, python |
| Est. Tokens | ~6877k |
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learn-hermes-agent is A 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution — inspired by Herme. It is categorized as a MCP Server with 106 GitHub stars.
learn-hermes-agent is primarily written in Python. It covers topics such as agent-from-scratch, agent-tutorial, ai-agent.
You can find installation instructions and usage details in the learn-hermes-agent GitHub repository at github.com/longyunfeigu/learn-hermes-agent. The project has 106 stars and 16 forks, indicating an active community.
learn-hermes-agent is released under the MIT license, making it free to use and modify according to the license terms.