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dsh-vision-bridge

Universal vision bridge for DeepSeek Harness providing multimodal image attachments and ~40 visual analysis tools for any model.

VisionUI & ProductivityDeveloper ToolsBrowser & WebSecurity & Policy
2GitHub Stars0ForksUpdated2026-10-12

Install

$ dsh plugin --profile web add @goodandready/dsh-vision-bridge

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-vision-bridge is a multimodal vision bridge and tool hub for DeepSeek Harness. It allows text-only chat models to process image attachments by routing them through dedicated vision endpoints (DSH catalog, OpenAI-compatible APIs, Ollama, or webhooks) and rewriting visual context into chat prompts. Additionally, it offers native passthrough for vision models, conversation attachment publishing for PDFs and video frames, and an extensive suite of approximately 40 vision tools covering OCR, UI layouts, diagrams, tables, and multi-model consensus.

Key Capabilities

  • Modality bridging that augments model definitions to accept image attachments across text-only chat models
  • Multi-channel routing with fallback, parallel racing, and LRU description caching
  • Native vision passthrough that dynamically exposes or hides redundant bridging tools
  • Publishing PDF pages, video frames, and URLs as conversation attachments
  • Suite of ~40 specialized visual tools including local Tesseract OCR, LaTeX formula extraction, table extraction, QR/barcode decoding, and UI flow diagrams
  • Enterprise security controls including masked secrets, CSRF checks, SSRF fetch policies, and origin validation

Useful For

  • Attaching screenshots, documents, and images to conversations powered by text-only language models
  • Extracting tables, formulas, or UI diagrams from images and PDFs directly into markdown
  • Running offline or multi-channel visual OCR and QA pipelines with Ollama or external OpenAI-compatible endpoints
  • Comparing visual outputs across multiple vision providers via consensus tools

Who It Fits

  • DeepSeek Harness users working with text-only models who need image attachment support
  • Developers needing automated OCR, document structure extraction, and UI layout inspection
  • Teams configuring multi-backend vision fallback pipelines

Documented Limitations

  • Requires configured external vision models or local endpoints (such as Ollama or OpenAI-compatible backends) when bridging text-only chat models
  • Model-supplied image URLs are restricted by SSRF protection policies unless explicit allowlists are configured in allowedUrlHosts
  • Certain media extraction features depend on host dependencies such as Poppler and FFmpeg for PDF and video frame operations

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 0 runtime, 1 development, 7 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
GooDAnDReaDY/dsh-vision-bridge
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
c11af2a · 2026-10-14

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
2GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-12
Last release
2026-10-12
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