798 results
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.
Unofficial DeepSeek Harness integration for Unreal Engine 5.8 Unreal MCP
Xiaomi MiMo text-to-speech controls for DeepSeek Harness Web assistant messages
Context Assembler DSH V0.99 — Context Assembler plugin for DeepSeek Harness (dsh): context compaction, cache-friendly topic-block management, water-pressure topic splitting, tool trace/rewrite, handoff planning and reality recall injection.
WebUI-managed encrypted credentials for DeepSeek Harness: one file, plaintext until a password is set, then AES-256-GCM ciphertext under an Argon2id-derived key with SHA3-256 fingerprints; per-request decryption, unlock lockout, leak-guard output redaction, and shipped-code integrity self-checks.
DeepSeek Harness plugin that uses configured model providers for image analysis and context compaction.
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
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.
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。
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.
ChatGPT-style text selection helper for DeepSeek Harness: select text in a conversation and a floating 「询问 DeepSeek」 button appears; click it to quote the selection into the composer.
Composer expand toggle for DeepSeek Harness: a ⬆/⬇ button in the composer tool row toggles the input between the default capped height and a tall 70vh writing view, so long drafts stay readable.
Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log. 压缩率精确兑现，历史永不销毁。
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
DSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).
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.
Composer draft polisher for DeepSeek Harness: a ✨ button in the composer tool row rewrites the current draft with a zero-prefix flash call and fills the polished text straight back into the input box.
PBR model preview for DeepSeek Harness: render GLB/GLTF game art with physically-based materials, textures, environment lighting, and orbit controls — fence language `pbr3d` + `pbr_render` tool.
Minecraft 主题插件（DeepSeek Harness）：方块纹理背景铺满页面、像素字体、MC 风格按钮与点击音效、纹理导入与管理、音乐播放器（16 首 Minecraft 原声 + 本地音乐文件夹）。
顶部栏「IDE」按钮：自动检测本机已安装的 IDE（VS Code / JetBrains / Cursor / Windsurf / Zed / Trae / VSCodium / Android Studio / Sublime Text 等），设默认后单击直达、点 ▾ 或右键可选其它，一键用其打开当前工作区目录；自定义 IDE 与默认 IDE 会持久化，界面文案支持中英文。
Voice input for DeepSeek Harness Web UI: a mic button in the composer tool row that uses the browser's Web Speech API (Chrome/Edge) to transcribe speech directly into the message draft. Zero dependencies, no API keys.
RigorQuant for DeepSeek Harness: session-scoped unattended, context-isolated multi-agent research for empirical/computational mathematics with a four-part pre-implementation check battery and a jacobian/Lean escalation lane.
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)
Cross-session node reference (cue) for DeepSeek Harness: pick another session's user nodes and inject their captured context as a wrapped reference