91 production-proven patterns for building AI agents, extracted from a 512K-line codebase. Covers agentic loops, tool systems, permissions, MCP, prompt caching, multi-agent orchestration.
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Updated
Apr 2, 2026
91 production-proven patterns for building AI agents, extracted from a 512K-line codebase. Covers agentic loops, tool systems, permissions, MCP, prompt caching, multi-agent orchestration.
The ideas that survive technology cycles: 264 software-engineering concepts across 19 domains, tiered from mathematical foundations to applied judgment. Three-layer monorepo - method, knowledge, reference MkDocs site. CC-BY-4.0 + MIT
Deterministic agentic skills and architectural governance for high-performance engineering.
Hermes Production Patterns是一套面向 Hermes Agent(https://github.com/NousResearch/hermes-agent) 的生产级工程模式集。 如果你已经装好了 Hermes,但发现: - 不知道怎么写一个「靠谱」的技能(Skill)? - Cron 任务跑着跑着就跑偏了,没人发现? - Agent 输出质量不稳定,全靠肉眼审查? - 多个任务的状态全靠脑子记,一重启就断片? - 错误一出来就把上下文炸了,Agent 直接失焦? 这个项目就是为你准备的。 它不是什么「最佳实践」大合集——每一条模式都在真实的 7×24 运行环境中验证过,踩过坑,打过补丁,最终沉淀为可复用的工程公约。
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