docs: add DeepSeek Harness integration section

README.md

@@ -218,6 +218,10 @@ One command deploys the mnemon skill, prompt files, and Hermes shell hooks to
 `on_session_finalize`. Hermes may prompt once to approve the installed shell
 hooks.
 
+### [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness)
+
+DeepSeek Harness (DSH) integrates through the [dsh-mnemon](https://github.com/omdsh-dev/dsh-mnemon) plugin, which layers DSH's runtime memory, managed project documents, and Mnemon's long-term memory spaces into one supervised three-tier memory system. Install the plugin on your DSH setup with `mnemon` available on the host — recall reads only from active memory spaces, and durable writes go through supervised sub-agents.
+
 ### [NanoClaw](https://github.com/qwibitai/nanoclaw)
 
 NanoClaw runs agents inside Linux containers. Use the `/add-mnemon` skill to integrate:
@@ -288,7 +292,7 @@ memory is useful.
 
 - **Zero user-side operation** — install once; supported runtimes can use hooks, minimal runtimes can use persistent rules
 - **LLM-supervised** — the host LLM decides what to remember, update, and forget; no embedded LLM, no API keys
-- **Multi-framework support** — Claude Code, Codex, Cursor, TRAE/TRAE Work, Qoder/QoderWork, CodeBuddy, WorkBuddy, Kimi Code, OpenCode, and Hermes Agent (hooks/plugins), OpenClaw (plugins), Pi (extensions), Nanobot (skills), and more
+- **Multi-framework support** — Claude Code, Codex, Cursor, TRAE/TRAE Work, Qoder/QoderWork, CodeBuddy, WorkBuddy, Kimi Code, OpenCode, and Hermes Agent (hooks/plugins), OpenClaw (plugins), Pi (extensions), Nanobot (skills), DeepSeek Harness (via the dsh-mnemon plugin), and more
 - **Runtime-native integration** — runtime-specific `SKILL.md`, shared `guide.md`, and supported hooks or extensions
 - **Four-graph architecture** — temporal, entity, causal, and semantic edges, not just vector similarity
 - **Intent-native protocol** — three primitives (`remember`, `link`, `recall`) map to the LLM's cognitive vocabulary, not database syntax; structured JSON output with signal transparency

docs/zh/README.md

@@ -196,6 +196,10 @@ mnemon setup --target hermes --yes
 `on_session_start`、`pre_llm_call`、`post_llm_call`，以及可选的
 `on_session_finalize`。Hermes 可能会在首次运行时提示批准这些 shell hooks。
 
+### [DeepSeek Harness](https://github.com/deepseek-ai/deepseek-harness)
+
+DeepSeek Harness（DSH）通过 [dsh-mnemon](https://github.com/omdsh-dev/dsh-mnemon) 插件集成：该插件把 DSH 的运行时热记忆、受管项目档案与 Mnemon 长期记忆体组织成一套受监督的三层记忆系统。在 DSH 环境安装插件并保证宿主机有 `mnemon` 即可使用——召回只读取已激活的记忆体，持久写入经由受监督子 Agent 执行。
+
 ### [NanoClaw](https://github.com/qwibitai/nanoclaw)
 
 NanoClaw 在 Linux 容器内运行智能体。使用 `/add-mnemon` 技能集成：
@@ -254,7 +258,7 @@ store 可见。**Remind** 触发 recall 判断。**Nudge** 触发 writeback 判
 
 - **零用户操作** — 安装一次；支持 hook 的 runtime 可用 hook，minimal runtime 可用持久规则
 - **LLM 监督式** — 宿主 LLM 主动决定记什么、更新什么、遗忘什么；无内嵌 LLM，无 API 密钥
-- **多框架支持** — Claude Code、Codex、Cursor、TRAE/TRAE Work、Qoder/QoderWork、CodeBuddy、WorkBuddy、Kimi Code、OpenCode 和 Hermes Agent（hooks/plugins）、OpenClaw（plugins）、Pi（extensions）、Nanobot（skills）等
+- **多框架支持** — Claude Code、Codex、Cursor、TRAE/TRAE Work、Qoder/QoderWork、CodeBuddy、WorkBuddy、Kimi Code、OpenCode 和 Hermes Agent（hooks/plugins）、OpenClaw（plugins）、Pi（extensions）、Nanobot（skills）、DeepSeek Harness（通过 dsh-mnemon 插件）等
 - **Runtime 原生集成** — 各 runtime 的 `SKILL.md`、共享 `guide.md`，以及受支持的 hook 或 extension
 - **四图架构** — 时序、实体、因果、语义四种边，不仅仅是向量相似度
 - **意图原生协议** — 三个原语（`remember`、`link`、`recall`）映射到 LLM 的认知词汇而非数据库语法；结构化 JSON 输出，带信号透明度