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Brings open-mcp-apps into DeepSeek Harness (dsh): an Apps section in the sidebar, one container per app with its own workspace and conversation, an agent-presence strip under the app, and inline app rendering for MCP tool calls.
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Unofficial DeepSeek Harness integration for Unreal Engine 5.8 Unreal MCP
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Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
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Enhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)
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Composer mic for DeepSeek Harness Web: tap-to-monitor live transcription and hold-to-talk, with host Edge TTS reply reading that streams while the model generates, echo-pause during reading, and tap-to-stop.
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Inspect and manage the live instruction chain and project skills for the current dsh session, with in-place creation and editing — what you see is what the model gets
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dsh plugin: recognize attached images with the built-in Windows OCR engine (Windows.Media.Ocr) and send only the recognized text to the model. Text models never receive image bytes; vision passthrough is opt-in.
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Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.
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DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth
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Model-reviewed Auto Approve permission preset for the DeepSeek Harness Web UI
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Codex-style reasoning-effort slider embedded in the DSH model selector
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Switch the DSH web interface to Anthropic Sans Web Text and model conversation to Anthropic Serif Web Text.
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Model Pro — DSH plugin for llm-pi-ai provider lifecycle: create/edit, custom headers, enable/disable with uninstall-restore safety, smart routing, composites, observability, and per-model connectivity tests
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DSH web plugin: a usage statistics panel with per-day token trend, GitHub-style activity heatmap, cache hit-rate curve and per-model / per-provider breakdowns, replicating the reasonix usage stats feature.
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GateCraft(门控工艺):门控式数学建模 skill 套件 for DeepSeek Harness——五阶段流水线、约束分级(事实/不变量/观察)、国奖写作范式与 docgate 机械验收;agent 求解质检,人在阶段门思考决策。
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Model high-availability failover + subagent orchestration (fanout/pipeline/supervisor) for DeepSeek Harness
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Coding-plan quota and balance readout for the DSH composer toolbar: MiniMax, DeepSeek, Kimi, OpenRouter and Zhipu windows follow the selected model; API keys are reused from DSH model settings.
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On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
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Detect which conversation model your DeepSeek Harness account is served: score probe conversations' live chain-of-thought, cancel old-model probes in seconds, keep confident catches.
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SHOPLINE AI Toolkit for DeepSeek Harness (DSH): bridges the official SHOPLINE Developer MCP server and ships SHOPLINE agent skills, mirroring the Shopify AI Toolkit architecture. dsh-plugin.
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Fully customizable keyboard shortcuts for the DeepSeek Harness WebUI — macOS-first defaults, 34 pre-registered features across session/view/clipboard/model/permission/system groups, one-click recording to add your own bindings, silent permission cycling with color feedback.
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DeepSeek Harness(dsh)的 MCP / Skill / 记忆管理工具:写入前先连接自检,连不上不写;从 Claude Code / Codex 一键迁移;可装成 dsh 插件,在 Web 里用 /mcp 命令和卡片操作。
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Hook DeepSeek Harness into your Hermes pipeline: dispatch-spec template, model-tier routing, quality gates, git single-writer rule — as an installable skill pack.
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DeepSeek Harness composer model seat: model picker plus a three-stop reasoning bar (小难梁 / 梁子 / 梁圣)