DeepSHPlugins
dsh-mindseye 项目预览
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dsh-mindseye

视觉与多模态TypeScriptMIT

为纯文本模型提供 DSH 视觉插件:原生图片理解与生成交互、分层证据记忆与缓存、意图驱动的 VLM 路由。

1 Starskanchengw 更新时间 2026-08-29
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dsh-mindseye 项目预览

项目介绍

中文

为纯文本模型提供 DSH 视觉插件:原生图片理解与生成交互、分层证据记忆与缓存、意图驱动的 VLM 路由。

English

Plug-in vision for text-only models on DSH, with native interaction for image understanding and generation, layered evidence memory and cache, and intent-driven VLM router.

项目信息与收录信号

快照 2026-09-11
作者 / 组织
kanchengw
仓库
kanchengw/dsh-mindseye
GitHub Stars
1
Forks
0
开发语言
TypeScript
许可证
MIT
最近推送
2026-08-29
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公开仓库不自动等于可商用;许可证与当前兼容性以原项目文档为准。Manifest 和数据评分不构成安装安全认证。

数据评分

52/ 100
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92
文档与实用信息
74
生态关注度
9
安装便捷信号
100
项目声明信号
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近 13 天仍在更新;关注度尚低(1);标准命令一键安装。

评分来自已有数据快照的五维模型,仅作浏览参考,不是实际使用评测或安全检测结论。

安装与使用

所有项目资料与许可均以对应 GitHub 仓库为准。

dsh plugin --profile web add github:kanchengw/dsh-mindseye

复制命令不会自动执行。请先阅读仓库文档,确认环境要求与许可证。

项目截图

仓库 README

GitHub 原文

已保存的仓库文档快照;文档抓取时间未记录,可能与上方目录介绍处于不同版本。安装前请核对当前仓库说明。

MindsEye

MindsEye header

dsh.so security

Intent-driven vision, image generation, and visible browser automation for DeepSeek Harness.

English | 中文

MindsEye is a plugin for DeepSeek Harness. It gives text-only models access to image understanding, image generation, and optional browser automation while keeping the DSH conversation as the main user experience.

Capabilities

Image understanding

  • Preserves DSH image attachments instead of asking users to select local files manually.
  • Automatically mounts vision tools on image turns. Text-only turns keep a single activation entry until vision is needed.
  • mindseye_read_image handles visual questions and focused tasks such as OCR, layout, charts, colors, and pixel differences.
  • mindseye_ground returns a target's pixel bounding box for downstream actions such as clicking or cropping.
  • Supports single-image and multi-image reads, with structured results for images, evidence, answers, and call metadata.

Image generation and editing

  • mindseye_generate_image sends a user's image request to the configured image-generation route.
  • mindseye_edit_image sends a DSH image attachment and an edit request to the configured image-editing route.
  • Generated images are returned as native DSH attachments and displayed in the conversation.
  • Generation does not automatically save files to the project or run a verification pass.

Browser automation

When gui.enabled is turned on, MindsEye opens a separate visible Chrome or Edge session. The GUI tools can open pages, take snapshots, wait, click, type, send key presses, scroll, and close the session.

If a page requires CAPTCHA, login, or permission confirmation, the run pauses on a native DSH question card. The user can:

  • take over the visible browser and complete the step;
  • skip the first handoff question when the step may already be complete; or
  • abandon the run.

After the user resumes, MindsEye checks the page state before returning control to the model. The browser uses an isolated session and does not attach to the user's existing Chrome or Edge profile. GUI actions require a fresh snapshot after each action so element references and coordinates cannot silently become stale.

Tools

ToolPurpose
mindseye_planExtracts the current request and prepares the intent context used by downstream tools.
mindseye_read_imageAnswers questions about one or more images and extracts focused visual evidence.
mindseye_groundLocates a target and returns its pixel bounding box.
mindseye_generate_imageGenerates an image from the user's request.
mindseye_edit_imageEdits a supplied image attachment.
mindseye_vision_activateMounts the vision tools during a text-only turn.
mindseye_gui_open / snapshot / waitOpens a browser session and observes its current state.
mindseye_gui_click / type / keypress / scrollPerforms a state-checked browser action.
mindseye_gui_closeCloses the current browser session.

The memory tools are optional and expose explicit DSH operations for storing, retrieving, searching, and comparing image-related records.

Configuration

Configure MindsEye from the DSH settings card or the plugin configuration.

  • vision.routes: independent routes for understand, extract, and locate.
  • vision.fallbacks: fallback routes for vision calls.
  • image.generate: ordered image-generation routes.
  • image.edit: ordered image-editing routes.
  • gui.enabled: enables the visible browser tools. It is disabled by default.
  • gui.browser: auto, chrome, or edge.
  • gui.restrictHosts: enables host allowlisting when set to true.
  • gui.allowedHosts: hosts allowed when host restriction is enabled.
  • gui.maxSteps and gui.timeoutMs: limits for one browser run.

Vision routes use OpenAI-compatible Chat Completions or Responses APIs. Image routes support JSON and multipart request bodies so different image providers can be configured independently.

Data and Safety

  • Image-capable models keep native DSH image blocks. Text-only fallback paths use isolated temporary files created for the current paste operation.
  • Image bytes and questions are sent to the configured provider only when a MindsEye tool makes that provider call.
  • Credentials come from DSH credentials, environment variables, or plugin settings and are sent only to the matching provider.
  • Browser automation starts a local Chrome or Edge child process only when explicitly enabled. It does not use the user's existing browser profile and does not execute downloaded code.
  • Browser navigation can be restricted to an explicit host allowlist.

Install

npm install dsh-mindseye
npx @deepseek-ai/dsh plugin --profile web add dsh-mindseye

Restart DSH Web after installation. Then configure at least one vision route in the MindsEye settings card. Unconfigured focused vision routes fall back to the general understanding route when available.

Development

pnpm install
pnpm test
pnpm typecheck
pnpm build

使用前核对

安装步骤、兼容版本与授权范围以原项目当前文档为准。Stars 和评分是快照中的导航信号。

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