multimodal 61

Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes

Let text-only models see images in DeepSeek Harness: intercepts the llm/stream waterfall and transparently substitutes each image with a vision model's description.

DeepSeek Harness plugin: a vision worker over Cloudflare Workers AI (@cf/moonshotai/kimi-k2.6) that routes image requests from text-only callers, returns a versioned righthand.vision.v1 envelope, and supports follow-up questions.

DSH plugin: read images through a user-configured vision-capable model when the main model route cannot accept image input

Meta package: one-command installation of useful community plugins for DeepSeek Harness — upload button, document reader, vision (image reading via DeepSeek's built-in multimodal model), plugin manager, and desktop launcher.

mm-vision (通感编码器) for DeepSeek Harness — give any text-only LLM the ability to see images via structured spatial text encoding. Registers the mm_vision tool.

Lets a text-only agent call a multimodal model mid-task: the vision tool sends one image file to Qwen, Kimi, OpenAI, Claude, Gemini or a self-hosted endpoint and returns structured evidence — summary, verbatim OCR, layout, entities, and what the model cou

为 DSH 非视觉模型提供基于 DeepSeek V4 Flash Vision Exp 的会话图片分析工具

Request image optimization, intelligent retention, and observability for DeepSeek Harness (DSH)

DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.

Universal vision bridge for DeepSeek Harness: pick how images are processed — auto-rewrite via a vision LLM, explicit tools, or hybrid. Multi-channel endpoint (DSH catalog / OpenAI-compatible / Ollama / custom), LRU description cache, settings card with c