CATEGORY
Agents & Orchestration DSH plugins
Verified manifests and exact versions in this category.
All plugins
554 pluginsdsh-comfyui-commanderComfyui Commander
Let DSH Agent fully control ComfyUI through natural language: workflow listing/loading, UI→API conversion, task submission and parameter overrides, progress monitoring (queue + WebSocket), result retrieval and downloading, and batch orchestration.
dsh-virtual-eng-teamVirtual Eng Team
Virtual engineering team: turn an agent into a full engineering team—CEO rethinks the product, engineering manager locks down the architecture, designer catches AI slop, reviewer finds production bugs, QA uses a real browser, security officer runs OWASP+STRIDE, and release engineer opens PRs; 23 exp
dsh-social-simulationSocial Simulation
Million-agent social simulation: a scalable, open-source social media simulator in which LLM agents realistically emulate up to one million users on Twitter/Reddit, with 23 actions (follow/comment/repost), interest- and popularity-based recommendation algorithms, and a dynamic environment; for study
dsh-skill-optimizationSkill Optimization
Treat skills as trainable parameters: train agent skills like neural networks (epochs/batchsize/learning rate/validation gates, without modifying model weights)—a rollout→reflect→aggregate→select→update→evaluate loop; accept candidate edits only when they strictly improve the held-out validation sco
dsh-self-improving-agentSelf Improving Agent
Self-improving AI agent: built-in learning loop—automatically creates skills from experience, improves with use, cross-session recall through FTS5 session search + LLM summaries, Honcho dialectical user modeling, cross-platform gateway (Telegram/Discord/Slack), scheduled automation, parallel sub-age
dsh-parallel-agent-adeParallel Agent Ade
并行 agent 开发环境：Codex/ClaudeCode/OpenCode/Pi 并排跑，各在独立 git worktree——一个 prompt 扇出 5 个 agent 比较合并胜者；移动伴侣监控、终端分屏、Design Mode（点击 UI 元素送 HTML/CSS/截图进 prompt）、GitHub/Linear 原生、SSH worktree、AI diff 标注。受 stablyai/orca（49k★ MIT）启发。
dsh-desktop-agent-guiDesktop Agent Gui
Agent desktop orchestration interface: Turn CLI agent orchestration into a visual desktop experience—with zero-configuration setup (wizard), intelligent chat (streaming Markdown/@agent routing/inline skill cards), multi-channel management, cron-based scheduled automation, local skill management, and
dsh-channel-assistantChannel Assistant
Channel-based personal assistant: a personal AI assistant for a single operator, connecting models/tools/messaging channels/companion apps through one Gateway—WhatsApp/Telegram/Slack/Discord/Signal/iMessage and other channels as the interface, Control UI/CLI/TUI, a pairing security model (unknown se
dsh-autonomous-researchAutonomous Research
Autonomous research agent: Give an AI agent a small, real LLM training setup and let it run experiments overnight—modify code → run a fixed 5-minute training session → check whether val_bpb improved → keep or discard → repeat (about 12 experiments/hour, roughly 100 overnight); single-file modificati
dsh-sentinelSentinel
DSH Sentinel: a condition-driven agent wake-up system—file/process/port/command sensors, subscriptions saved as session events, automatically revived after restart; every subscription and trigger fully visible to the user
dsh-skill-moverSkill Mover
Move skills from other Agents into DeepSeek Harness with one click: supports 14 platforms plus shared-layer detection, merges skills with the same name, avoids duplicate transfers, and supports rollback. DSH skill mover plugin (skill mover).
dsh-ultracodeUltracode
Ultra mode for DeepSeek Harness: a per-session effort tier that pins reasoning to max and activates an orchestration policy section, with a composer ULTRA chip and rainbow border in the web UI
dsh-reasoning-settingsReasoning Settings
Reasoning effort settings and per-call subagent model routing for DeepSeek Harness custom providers
dsh-queue-mergeQueue Merge
Queue Consolidation for DeepSeek Harness: when the agent is busy and you queue several follow-up messages, the next turn runs with ONE consolidated formal prompt — the model rewrites the batch into a single prompt and executes once, instead of piecemeal one-message-per-turn rework.