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Wsl Vecmem — DSH Plugin for DeepSeek Harness
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dsh-wsl-vecmem

Wsl Vecmem

DeepSeek Harness WSL plugin: tiny local vector memory via Ollama embeddings + JSON store.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:173787247/dsh-wsl-vecmem#801ad8a2fdc956f26ffe394e62ef4e0ff06cf317
READMECompatibilityVersions

Compatibility and provenance

Wsl Vecmem is published as dsh-wsl-vecmem and currently resolves to version 0.2.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/26/2026

Versions

0.2.0stable
9/26/2026
0.1.0stable
9/22/2026

Related plugins

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Latest
0.2.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 1
Weekly downloads
0
Last push
9/30/2026
View source ↗
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README

dsh-wsl-vecmem

语言： 中文（本页） · English

本地向量小记：用 Ollama embedding + ~/.dsh/vecmem/store.json 存短文本，供语义检索。

补 Obsidian / 笔记库，不是 vault 替代品。依赖本机 Ollama（可与 dsh-wsl-ollama 同机）。

最短上手

ollama pull nomic-embed-text
dsh plugin --profile web add github:173787247/dsh-wsl-vecmem

工具

工具作用
vecmem_statusstore 路径、embed 模型、条数
vecmem_add写入一条文本并嵌入
vecmem_search按语义相似度检索

配置

config:
  enabled: true
  storePath: ""            # 空 = ~/.dsh/vecmem/store.json
  ollamaBase: "http://127.0.0.1:11434"
  embedModel: "nomic-embed-text"
  timeoutMs: 60000
  maxItems: 5000

Ollama 在 Windows 时，把 ollamaBase 改成可从 WSL 访问的地址（见 ollama 插件说明）。

兼容性

字段值
插件dsh-wsl-vecmem 0.1.0
最低 dsh≥ 0.1.2（Web UI 一次性 ?token=，Windows 中继 :3081）
最新验证以 dsh-wsl-kit 兼容性 为准（当前 0.1.7-alpha.2）— 套件唯一真源
套件档位可选（默认不在 install.sh / KIT_SET=daily）

License

MIT