dsh-llm-wiki

DeepSeek Harness Memory Low risk

Karpathy LLM Wiki pattern knowledge base for DSH: wiki-write/wiki-search skills, zero-dependency pipeline (lint/index/mnemon memory sync/quality feedback), minimal lifecycle plugin injecting schema + knowledge preview, SiliconFlow semantic recall via an Ollama-compatible proxy.

Karpathy LLM Wiki 模式的 DSH 知识库系统：wiki-write/wiki-search 技能引导模型写读 Obsidian wiki，零依赖管线（lint/索引/mnemon 记忆体同步/质量闭环），极简生命周期插件注入守则与知识预览，Ollama 兼容代理接 SiliconFlow 语义召回。

How to install

DeepSeek Harness dsh plugin add github:iwtown/dsh-llm-wiki

About

dsh-llm-wiki Karpathy LLM Wiki 模式的 DeepSeek Harness 知识库系统：模型写 wiki、管线维护、记忆体召回、质量闭环。基于 Karpathy 的 LLM Wiki 理念的 Obsidian 知识库自动化方案。整套系统由 **1 个极简插件 + 2 个技能 + 1 个管线脚本 + 1 个向量代理服务** 组成，刻意保持低代码、零第三方插件依赖。架构写：wiki-write SKILL → 模型会话内写 Obsidian wiki 页面（frontmatter/wikilink 规范）管：llm-wiki-pipeline.mjs（lint/索引/记忆体同步/usage/rate，零依赖，幂等） ├─ systemd timer 每日 03:00 自动运行 └─ 插件 session/disposed 事件触发（60s 防重入）记：mnemon 记忆体 223 条 wiki 精华（向量语义召回）读：wiki-search SKILL（rg + read 检索原文）馈：--rate 质量反馈 / --usage 召回热度回写 queried_count 向：embed-proxy.mjs（Ollama 兼容代理 → SiliconFlow /v1/embeddings，可选） | 组件 | 文件 | 部署位置 | |---|…

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Recommendation signals

47 Tool quality · Based on stars, downloads, maintenance, security and docs

– User interest · Adjusted by in-site views, install copies and download clicks

47 Overall

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Links

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Basic safety check

Findings: curated 收录但无 npm 包/安装命令
Sources: curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin

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