DSH 右侧栏里的可编辑画布 —— 加上让模型直接改图的两个工具
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NEW热门插件
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Use ChatGPT (Codex), Claude, and Grok (X Premium) subscriptions as DeepSeek Harness LLM providers — OAuth login in the web UI, no API keys
DSH plugin — free OpenCode Zen models for DeepSeek Harness (DSH). Free LLM API, no API key needed. 在 DSH 中使用 OpenCode Zen 免费模型，无需 API key
DeepSeek Harness 提示词破限插件：通过系统提示词解除模型回答限制，深度适配 Web 与桌面端多模式及工具调用
Google Antigravity (agy) OAuth auth + model access plugin for DeepSeek Harness: multi-account pool, 429 rotation, device fingerprinting, CLI and web login.
"🐳 Dsh-Quant: The Everything-Plugin Ai native Quant OS "
A DeepSeek Harness plugin for reasoning-effort defaults and protocol-aware gateway compatibility settings for llm-pi-ai models.
DSH voice input plugin: tap or hold Alt to talk, text lands in the composer. Local SenseVoice ASR by default — offline, zero config, zero key. Auto-fallback to browser Web Speech, optional OpenAI-compatible ASR chain, polish via DSH models.
Scene-aware storyboard for DeepSeek Harness: 9-16 numbered cells with timestamps + transcript + an audio envelope, packed into ONE image (384 tokens). Two tools: video_storyboard and video_zoom.
DSH适用的大肥鱼跑步思考强度滑块。Codex-style model and reasoning-effort slider for DeepSeek Harness
DSH host RSI for local LLMs (currently Qwen3.8 27B): per-use continual self-improvement, counter-reason self-check, critic escalation, and memory retrieval.简单来说根据论文建立的长期反思教训机制，让大模型不再犯错，越用越强！重点是千问3.8 27B/FLASH这种本地LLM模型！当然在线大模型理论上也可以通用！
GPU coordination for local AI companions on AstrBot / DeepSeek Harness: persona LLM, IndexTTS voice and ComfyUI selfies take turns on one 12 GB card. No proxy.
dsh游戏素材大师插件。接入seedream生图模型和minimax视频生成模型，可生成各种游戏素材。
Model-driven context management (Active Context Pruning / ACP) for the DeepSeek Harness — the model decides when and what to compress. Ported from billion-context-pi (ranxianglei); acp-kernel reused verbatim. CompactionEngine backend with compress/decompress/search_context/acp_status tools.
Advanced model-context injection and request-only rewriting for DeepSeek Harness with native Keysmith rules compatibility.
在deepseek harness中使用workbuddy api，因为公司只提供workbuddy积分
[dsh]为纯文本模型设计更强大的视觉工具箱：一行安装使用、粘贴图片直接识别、多张图片问答、截图到前端UI 还原等｜DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, grounding, pixel diff, Artifacts, and Web UI.
DSH稳定高效的破甲插件： 常驻1,597token +零宿主补丁（可与dsh-purge共存）+ 三层技能路由+ 分级 prefill + 拒答自我强化阶梯+ finish_reason 四路分流 状态查询: /flash light