Apache-2.0 的 LLM Agent 記憶作業系統，透過官方本機外掛（100% 本機 SQLite）或託管雲端外掛接入 DeepSeek Harness，實現任務前自動召回、回合後自動沉澱記憶。
DSH 整合
相容
作者聲明
安全稽核
未稽核
最後核實
2026-08-21
授權條款
Apache-2.0
01它能幫你完成什麼？
Give DeepSeek Harness sessions persistent, self-evolving agent memory
Automatic recall of relevant context before the first model step of each request, and automatic saving of new user/assistant messages back to memory after a successful turn — without modifying DSH's core
Developers running DeepSeek Harness (dsh) who want their agent to remember context and grow across sessions
Keep all agent memory 100% on-device
Local-first memory with hybrid retrieval (FTS5 + vector), smart dedup, tiered skill evolution (L1 traces / L2 policies / L3 world model), multi-agent collaboration, SQLite storage and a Memory Viewer dashboard
Privacy-sensitive developers and teams who want agent memory in DeepSeek Harness, Hermes or OpenClaw with nothing leaving their machine
02如何將外掛接入 DeepSeek Harness？
先決條件
- Local plugin: Node.js and an already-installed DeepSeek Harness (dsh), OpenClaw, or Hermes
- Cloud plugin: a MemOS Cloud API key (starts with `mpg-`) created on the MemOS dashboard
安裝步驟
- 01
Local plugin (macOS / Linux) for DeepSeek Harness: `curl -fsSL https://raw.githubusercontent.com/MemTensor/MemOS/main/apps/memos-local-plugin/install.sh | bash -s -- --agent dsh --profile web` — the installer deploys MemOS as an out-of-tree DSH bundle
$ curl -fsSL https://raw.githubusercontent.com/MemTensor/MemOS/main/apps/memos-local-plugin/install.sh | bash -s -- --agent dsh --profile web
- 02
Local plugin (Windows PowerShell): `irm https://raw.githubusercontent.com/MemTensor/MemOS/main/apps/memos-local-plugin/install.ps1 -OutFile "$env:TEMP\memos-install.ps1"; powershell -ExecutionPolicy Bypass -File "$env:TEMP\memos-install.ps1"`
- 03
Cloud plugin: create a MemOS API Key on the MemOS dashboard, then install into the default DSH `web` profile: `npx @deepseek-ai/dsh plugin --profile web add @memtensor/memos-cloud-dsh-plugin@latest`
$ npx @deepseek-ai/dsh plugin --profile web add @memtensor/memos-cloud-dsh-plugin@latest
- 04
Cloud plugin: add `MEMOS_API_KEY: mpg-your-key` to `~/.dsh/.credentials.yaml`
- 05
Cloud plugin: add the minimal plugin configuration to `~/.dsh/settings.yaml`: `memos-cloud:` with `apiKeyEnv: MEMOS_API_KEY`
- 06
Cloud plugin: restart the DSH Web profile: `npx @deepseek-ai/dsh web`
$ npx @deepseek-ai/dsh web
驗證整合成功
作者未說明
03DSH 整合程度與能力邊界
Official memory plugin installed inside DeepSeek Harness via DSH's native plugin mechanism (cloud plugin via `dsh plugin add`, local plugin as an out-of-tree DSH bundle)
Automatic recall & capture for DeepSeek Harness
DSH user requests and completed turns→Relevant memories recalled before the first model step; new user and assistant messages saved after a successful turn
Cloud plugin sends conversation messages to MemOS Cloud and requires a MemOS API keyLocal-first hybrid memory (memos-local-plugin)
Agent conversations and task traces from DeepSeek Harness, Hermes or OpenClaw→Hybrid retrieval (FTS5 + vector), smart dedup, tiered skill evolution (L1 traces / L2 policies / L3 world model), multi-agent collaboration, Memory Viewer dashboard
Writes a local SQLite database on your machineSelf-hosted MemOS REST service
Docker Compose deployment (MemOS API + Neo4j + Qdrant) or uvicorn without Docker→Memory API served at `http://localhost:8000` — create cubes, add memories, search memories
Requires Neo4j and Qdrant infrastructure; `.env` must be filled with LLM/embedder API keys
04適合誰？何時不該用？
適合
- Developers running DeepSeek Harness (dsh) who want their agent to remember context and grow across sessions
- Privacy-sensitive developers and teams who want agent memory in DeepSeek Harness, Hermes or OpenClaw with nothing leaving their machine
不適合
- The cloud plugin stores memories on MemOS Cloud and requires a MemOS API key plus network access; it is fail-open, so a temporary outage does not interrupt the current DSH task, but recall/capture is unavailable while offline.
- The full self-hosted MemOS service needs Neo4j and Qdrant infrastructure (and LLM/embedder API keys in `.env`); only the local plugin runs with no infra on local SQLite.
05相容性、維護與安全提醒
- The cloud plugin stores memories on MemOS Cloud and requires a MemOS API key plus network access; it is fail-open, so a temporary outage does not interrupt the current DSH task, but recall/capture is unavailable while offline.
- The local plugin installer requires Node.js and an already-installed DeepSeek Harness (or OpenClaw / Hermes); for DSH it deploys MemOS as an out-of-tree bundle, so a working dsh installation is mandatory first.
- The full self-hosted MemOS service needs Neo4j and Qdrant infrastructure (and LLM/embedder API keys in `.env`); only the local plugin runs with no infra on local SQLite.
Apache-2.0 · actively maintained (latest release memos-local-plugin-v2.0.16, 2026-08-16)
06常見問題
MemOS 如何接入 DeepSeek Harness？
兩種官方方式。本機外掛：macOS / Linux 用一行安裝指令稿加上 `--agent dsh --profile web` 參數，Windows 用 PowerShell 安裝指令稿，MemOS 會以 out-of-tree DSH bundle 形式部署。雲端外掛：執行 `npx @deepseek-ai/dsh plugin --profile web add @memtensor/memos-cloud-dsh-plugin@latest`，再把 `MEMOS_API_KEY` 寫入 `~/.dsh/.credentials.yaml`、在 `~/.dsh/settings.yaml` 加入 `memos-cloud` 設定，最後用 `npx @deepseek-ai/dsh web` 重新啟動。
是 DSH 原生外掛還是走 MCP？
透過 DeepSeek Harness 的原生外掛機制接入，README 明確寫明 DSH 經由 'native plugin mechanism' 連接 MemOS Cloud，不走 MCP。
需要什麼前置條件？
本機外掛需要 Node.js 和已安裝好的 DeepSeek Harness；雲端外掛需要在 MemOS 控制台建立 API Key（以 `mpg-` 開頭）。
記憶資料存在哪裡？
本機外掛 100% 在本機執行，採用本機優先的 SQLite 儲存，資料不會離開你的電腦；雲端外掛的記憶儲存在託管服務 MemOS Cloud。
MemOS Cloud 掛掉會有影響嗎？
雲端外掛採 fail-open 設計：MemOS Cloud 暫時故障不會中斷目前的 DSH 任務。
07相關的 DSH 工作流程
dsh-anchored-standard
作者 xiaobright
DeepSeek Harness 兩階段預設：先最小對齊引導，再啟用完整標準工具集。
mem9
作者 mem9-ai
每輪自動回憶 + 後臺智慧攝取 + 五個記憶工具，為 DSH 加持記憶。
mindmemos
作者 mindscale-noah
為 DSH 智慧體提供跨會話持久記憶，每輪自動召回相關上下文並回寫經驗，通過模式學習與技能蒸餾持續進化。
dsh-router-standard
作者 yjh051108
已併入 dsh-routing-suite（單倉庫化）；本倉庫為歷史映象/歸檔 —— 注意力工程主線 v1.19.1/v34 研發線未釋出。新程式碼見 github.com/yjh051108/dsh-routing-suite
08資料與來源
Add automatic recall, background capture, hybrid retrieval, and a local Memory Viewer to DeepSeek Harness—powered by the…
Connect DeepSeek Harness to MemOS Cloud through its native plugin mechanism.
MemOS now brings persistent memory to **DeepSeek Harness** through both local and cloud plugins.
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-08-21。發現錯誤？提交更正。
最佳 DeepSeek Harness 外掛
從全目錄挑出的 12 個值得優先安裝的外掛，涵蓋各個分類。