No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by longyunfeigu · MCP Server · ★ 207
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English | 中文 Learn Hermes Agent Build a production-grade autonomous AI agent from scratch in Python. A 27-chapter, code-first tutorial covering the agent loop, tool system, session persistence, memory, skills, context compression, MCP, multi-platform gateway (Telegram / Discord / Slack / WeChat), and RL-based self-evolution — inspired by Hermes Agent. Every chapter ships a runnable reference implementation under , paired with a prose explanation under (and for the Chinese mainline). Read, run, tweak, repeat. This repo does not try to mirror every product detail from the Hermes Agent codebase. It focuses on the mechanisms that actually decide whether an agent can work autonomously across platforms: the conversation loop tool registry and dispatch session persistence prompt assembly context compression memory and skill management skill system permission and safety multi-platform gateway terminal backends scheduling external capability routing The goal is simple: understand the real design backbone well enough that you can rebuild it yourself. What This Repo Is Really Teaching One sentence first: The model does the reasoning.
| Stars | 207 |
| Forks | 28 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.3834100954765/100 |
| Open Issues | 2 |
| 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 207 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 207 stars and 28 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.
The top alternatives to learn-hermes-agent on Agent Skills Hub include awesome-openclaw, awesome-hermes-usecases, wcgw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.