dsh-mcp-adapter
MCP adapter for DeepSeek Harness — one proxy tool instead of dumping every MCP schema into context.
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MCP adapter for DeepSeek Harness — one proxy tool instead of dumping every MCP schema into context.
DeepSeek VisionPlus — official-grade vision extension for DeepSeek Harness. Routes image understanding to a free vision-model pool (Zhipu GLM, SiliconFlow Qwen) with automatic fallback, rate limiting, one-click platform tests and live status lines; text stays on DeepSeek. One-command install. MIT.
DSH Web 语音输入插件:默认使用浏览器内置 Web Speech API,也可按需下载本地模型离线识别。
DSH Feishu self-built app integration: receives text messages over the official Feishu WebSocket long connection, routes them to a DSH agent session, streams safe assistant text deltas through a Feishu CardKit card, and falls back to ordinary text when card streaming is unavailable. Acknowledges with an OK reaction (text fallback). Standalone Cordis bundle — no dsh source changes.
DSH host plugin: automatically sends images in user messages to a vision model (default mimo-v2.5 on opencode-go) and feeds the returned text description to the main text model (e.g. deepseek-v4-pro), without touching the visible chat transcript.
Real-time weather, location, battery, and system-device context for DeepSeek Harness
Web sidebar indicator: API key context headroom, account balance, and estimated turns until compaction
AiToEarn content-creation suite as a DeepSeek Harness plugin: creative director, script writer, image-text and video generation, and Douyin publishing.
MCP 服务器可视化配置插件:在 DSH Web 设置界面管理 MCP 服务器(stdio / streamable-http / SSE),保存即生效,无需手改配置文件。| Visual MCP server management for DeepSeek Harness: configure stdio / HTTP / SSE servers from the settings UI, hot-synced without editing config files.
Vision for text-only DeepSeek Harness agents: delegate image reading to a one-shot subagent on a configurable vision route (MiniMax / Kimi / any OpenAI-compatible provider), keeping image bytes and the vision model's context out of the main session.
Curate tool output before it enters the model's context: keep error/warning lines and head/tail, spill the full text to disk with a pointer. Faster turns, smaller context, sharper attention — for every tool, not just bash.
MindsEye: model-driven vision tools, structured evidence, and exact cache for DeepSeek Harness
最新文档注入防幻觉:编写/引用库代码前先拉取版本化最新文档(ctx7 CLI 或 MCP),library ID 直取、版本指定、规则自动触发;消灭过期示例与幻觉 API。受 upstash/context7(61k★ MIT)启发。
MCP server studio for DeepSeek Harness: live-mounted servers with real connection status, a per-server tool browser, JSON import, and a dashboard-grade settings page.
上下文工程:按层级(规则文件→规格→源码→错误输出→对话历史)主动策划 agent 看到的信息,提升输出质量。受 addyosmani/agent-skills(88k★ MIT)启发。
Local-first vision for text-only DeepSeek Harness agents: route image understanding to a local OpenAI-compatible vision model, return structured JSON evidence (summary / OCR / layout / semantics / visual / uncertainty).
dsh-docker — typed, guarded container control for DSH: structured docker/compose tools, project-aware targeting, an approval gate for destructive ops, service-health context, and a replayable status-table renderer
LongCat (LongCat-2.0) adapter for the DeepSeek Harness LLM seam — 1M context, thinking mode, tool calling
Third-party dsh web plugin: a rich Markdown notebook for the composer region — tool-row toggle plus a CodeMirror editor card with Codex-style list editing, submitted through the conversation service
DSH plugin: format/validate JSON, YAML, TOML and SQL text.
Load MCP servers for the DeepSeek Harness from the mcp.json of Claude Code, Kiro, OpenCode, and Codex, with user and project layers and live reload
LLM pre-review for sandbox-escalation approvals: an independent-context LLM gate answers sandbox escalation requests before they reach the user, falling back to the user on any failure.
Vision-first MCP for text-only Agents, using Agnes AI for image understanding with experimental generation and editing.
给 DeepSeek Harness(DSH / DeepSeek Hermes)加语音能力的社区插件:输入框语音输入(可配快捷键)+ 回答朗读(微软 Edge 神经网络音色,可换音色、可试听),无需 API Key。