v0.14.100 · MIT
The best home for all your AI agents. Run them in the cloud or connect your own—with their context and tools in one place.
v3.1.1 · MIT
A local MCP server with full Figma REST API coverage.
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Use when the user wants to design a mobile app or UI screens, when they mention their Sleek (sleek.design) projects, or when implementing Sleek designs in code (HTML, React Native, SwiftUI).
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Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with audi
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Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without mod
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Rigor Reproduce compatible skill slug for README-first deep learning repository reproduction. Use when the user wants an end-to-end, minimal-trustworthy flow that reads the repository first, selects the smallest documented inference or evaluation target, coordinates intake, setup, trusted execution,
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When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing
v0.6.0 · MIT
VCP visual-synesthesia protocol plugin for DeepSeek Harness: render agent HTML output as real UI (cards / KaTeX math / Mermaid diagrams / built-in calligraphy fonts / zero-JS interactions), plug-and-play on any DSH environment
v0.1.2 · MIT
🎬AI-Powered Director: MiniMax-H3 Video Generation Plugin Directed by DeepSeek-Harness. 🤖More than Prompting. 🪄Canvas UI.
v0.13.1 · MIT
DSH notification & remote-control plane: 28 outbound channels, 6 inbound controls, Native Notify & Control UI, live hot-apply, zero runtime deps.
v0.1.2 · MIT
让 DSH 智能体在新会话里按需检索同一工作目录下历史会话的记忆
v0.14.2 · MIT
DSH 上的类 VSCode 编码体验:Monaco 编辑器(文件页签/QuickOpen/状态栏,可驻 DSH 0.1.5+ 官方右侧 Sidebar 与对话同屏)+ 命令栏(Ctrl+Shift+P)与可扩展指令系统 + VS Code 兼容代码片段(.code-snippets 全局/项目,IntelliSense 展开)+ Agent 编辑差异审查(整文件差异/采纳/拒绝/归档/回滚)+ SVN 集成(侧栏变更面板/日志弹窗/并排差异)+ 语言服务器(LSP)智能(跳转定义/引用/hover/大纲
v0.3.18 · MIT
In-GUI skill hub for DeepSeek Harness (dsh): browse the full local skill catalog from the official ctx.skills registry (every root + third-party providers), toggle skills on/off, inspect bodies, surface frontmatter diagnostics, and scaffold new skills — p
v0.8.1 · MIT
Vendor-neutral control-plane contract for coding agents: a normalized ToolCallEvent/Verdict schema with per-agent adapters (Claude Code, Codex, Amp, Gemini CLI) and a conformance suite.
v1.3.0 · MIT
CLI tool to block --no-verify flag in git commands. Prevents AI agents from bypassing git hooks.
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Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head,
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Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated fro
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Rigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup verification, short-run verification, full kickoff, or resume, with command, config, seed, log, checkpoint, status, and metric evidence written to st
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Rigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories. Use when the researcher explicitly authorizes exploratory runs such as small-subset validation, short-cycle guess-and-check, batch sweeps, idle-GPU search, or quick transfer-learning
v1.0.9 · MIT
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and custom LLM model routing.
v0.3.5 · no license
推荐组件(非必须):DeepSeek Harness 运行时注入器;已随 dsh-routing-suite 单仓库化保留,本仓库继续维护/发布。
v0.3.13 · MIT
DeepSeek Harness control center for balance, usage, peak/off-peak pricing, encrypted multi-account switching, health checks, reminders, recharge, and session controls. / 余额、用量、峰谷计费、加密多账户、健康检查、提醒、充值与会话控制
v0.2.32 · MIT
Background automation runner for DSH: isolated agent runs, script/HTTP/SSH/Docker runtimes, cost guard, notifications, heartbeats.
v0.9.10 · MIT
Voice input for DeepSeek Harness: dictation chunked by pauses and voice messages, each with its own provider fallback chain (Deepgram, Groq, HuggingFace, local whisper.cpp, plus any OpenAI-compatible API of your own).