
kanchengw/dsh-mindseye
dsh-mindseye
Plug-in vision for text-only models on DSH, with native interaction for image understanding and generation, layered evidence memory and cache, and GUI automation.
Install
npx @deepseek-ai/dsh plugin --profile web add dsh-mindseyeRestart `dsh web` after install. Bundle APIs can change during the developer preview.
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From the README
Excerpt from kanchengw/dsh-mindseye, cleaned of badges and images.
MindsEye
Intent-driven vision, image generation, and visible browser automation for DeepSeek Harness.
Current version: 0.2.7
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_imagehandles visual questions and focused tasks such as OCR, layout, charts, colors, and pixel differences.mindseye_groundreturns 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_imagesends a user's image request to the configured image-generation route.mindseye_edit_imagesends 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
| Tool | Purpose |
|---|---|
mindseye_plan | Extracts the current request and prepares the intent context used by downstream tools. |
mindseye_read_image | Answers questions about one or more images and extracts focused visual evidence. |
mindseye_ground | Locates a target and returns its pixel bounding box. |
mindseye_generate_image | Generates an image from the user's request. |
mindseye_edit_image | Edits a supplied image attachment. |
mindseye_vision_activate | Mounts the vision tools during a text-only turn. |
mindseye_gui_open / snapshot / wait | Opens a browser session and observes its current state. |
mindseye_gui_click / type / keypress / scroll | Performs a state-checked browser action. |
mindseye_gui_close | Closes 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.
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