DeepSeek Harness Plugins · Model Inference
Plugins that extend DeepSeek Harness (DSH) with vision, workflows, memory, web tools and more.
ModLens is a vision plugin for DeepSeek Harness that gives text-only models sight by reading images pasted directly into chat, with zero-config setup and multiple vision engines.
On-demand vision for text-only DeepSeek Harness agents: built-in free keyless vision chain and 14 vision tools, routing image turns as tool calls to vision models with pixel fidelity, no Python needed, one-command install.
Give text-only models in DeepSeek Harness eyes, enabling image Q&A, long-screenshot OCR, UI restoration, and GUI visual tasks.
An armor-breaking plugin for DeepSeek: rewrites instruction priority, expands refusal-blocked phrases, persists across sessions, and shows a green active indicator.
Provides workspace @ path references for the DeepSeek Harness web interface, with searchable file/directory picker, filter rules, and path handling.
Use your ChatGPT (Codex), Claude, Grok (X Premium) and GitHub Copilot subscriptions as LLM providers in DeepSeek Harness — no API keys, with OAuth login, usage stats, and image/video generation tools.
Bring native conversational image generation and editing to DeepSeek Harness, supporting text-to-image, image-to-image, multi-turn editing, and multiple image providers.
Token usage accounting for DeepSeek Harness, attributed to the relay site and project, zero configuration, no credentials required.
Bring Codex-style "model + reasoning effort" controls into DeepSeek Harness, with a responsive slider, automatic effort-level adaptation, and custom provider guidance.
Unofficial dsh LLM provider plugin for Command Code, featuring in-browser sign-in, multi-account rotation, plan-aware model picker, vision input, and a usage dashboard.
Adds vision to DeepSeek Harness: when the main model is text-only, a separate vision model analyzes the original images and DeepSeek produces the final answer, with cloud vision and local OCR fallback.
Provides provider login (OpenAI Codex, Kimi Code, etc.), API/custom OpenAI-compatible setup, model switching, vision fallback for text-only models, and token usage/cost analytics in DeepSeek Harness.