Plugins

Tidy the model list of DeepSeek Harness: hide any model from the selector, rename models and channels while keeping the provider billing rate, and arrange both with arrows. Search, per-provider batch toggles, back to top, one-click restore. Display only — no provider configuration is rewritten.

Registers a local LLM provider that routes model calls to an OpenAI-compatible endpoint or the Ollama native API, with a connection-test card in the Models settings page and no account sign-in.

A fork of y-wi/dsh-deepseek-web that bridges the DeepSeek web client into DSH, so short-context conversations, workflows and skill packs run without an API key, and a picture pasted in DSH gets read for free. Ships a floating ball plus sidebar, one-click login that stays logged in, and a right-click action that sends any selected text into the web input after clearing it. It keeps the upstream provider id deepseek-web, so it cannot be installed next to another plugin that owns the same provider. Adapts DSH kernel 0.2.2-rc.1. Reuses your own signed-in chat.deepseek.com session (needs Chrome/Edge/Brave/Chromium or a managed browser download); this may violate DeepSeek's terms and risks rate limiting or a ban. Cannot be installed alongside y-wi/dsh-deepseek-web.

kimi-tide（月汐）— preset-and-rule model router for DeepSeek Harness（预设+规则驱动的逐步模型路由）：named presets with ordered image/keyword-group rules route each agent step across ANY mounted provider/model (candidate pool = full host catalog enumeration, no whitelist), w

Thinking levels, image input and image generation for third-party models in the official Models page; multiple keys per provider routed by model, automatic failover between keys on failure, per-route custom request headers, and balance display.

将本机已登录的 Qoder（国内版 Qoder CN / 国际版 Qoder）模型接入 DeepSeek Harness —— bring locally signed-in Qoder models into DeepSeek Harness with zero configuration.

Model switching and reasoning-effort control for DeepSeek Harness: set_model and list_models agent tools let the agent autonomously change its provider, model or thinking depth (reasoning effort) mid-task with a mandatory reason, a provider whitelist and a context-window token-pressure guard, the active model is injected into the runtime context, and Plan Mode auto-transition switches to a configured planning model on entering plan mode and restores the previous execution model on exit.

Omni-modal workstation for DSH: analyze_image over an ordered multi-card VLM failover chain, a six-tool vision toolkit (zoom, colour sampling, pixel diff, OCR, element detection, inline display) sharing the same image resolver, generate_image over OpenAI/DashScope/ComfyUI protocols, multi-card async generate_video with a /build-video-tool builder, and speak/clone_voice TTS over seven providers, all driven by one auto-saving settings page.

Live skill provider that adds skills from 60+ other agents' directories (Claude Code, Codex, Cursor, Gemini CLI, Copilot), Claude Code plugin marketplaces, and any git repository of skills to the dsh catalog without copying or symlinking; deduplicates, repairs frontmatter, renames name collisions, and ships a CLI (list, add, sync, doctor).

Unified token quota and usage statistics for dsh: multi-vendor rolling/payg quota with sidebar cards and provider ops, plus session-log token aggregation with trends, heatmap, and per-model breakdown.

Per-step model router: named presets with ordered image/keyword-group rules route each agent step across every mounted provider and model, adding collaboration flows for image transcription, an image guard, a multi-plan quota panel, and per-step decision observability.

Smart subagent routing and evolution: bind roles to any provider/model registered in DSH, including models supplied by Codex and Claude Code provider plugins, with workspace learning.

A guarded local fetch provider for the ctx.web seam — the backend dsh does not ship for its own web_fetch tool. Every redirect hop is re-resolved and checked against the non-routable ranges, with a streamed size cap and a content-type allowlist.

A thinking level stored per provider and model, so reasoning effort outlives the session it was set in and also reaches subagents, which dsh never asks. The in-session picker still wins, and a model with no row keeps its provider default.

Per provider/model generation concurrency, with a settings card: a cap on how many sessions may stream at once, enforced at the stream and again at subagent spawn, where a fan-out past the cap waits in a FIFO queue instead of failing.

Route OpenRouter requests through a configured provider list and quantization cap, injected as provider.only/order with allow_fallbacks, plus provider.quantizations.

LLM provider that runs the locally installed Claude Code CLI as the model backend, so requests go through an existing Claude subscription instead of a metered API key; native tool calls are bridged over MCP.

Rewrites the reasoning row: instead of the raw chain of thought it shows first-person working notes, written segment by segment while the reasoning streams in, with a toggle back to the original. Notes are stored per session so history rows keep them after a reload, the note writer runs on a configured provider or a downloadable local llama.cpp model, and the model still reads the full reasoning.

web_search provider for DeepSeek Harness with switchable search backends; installed through dsh-tool-web-enhanced-profile

Rotifer Protocol skills plus the Rotifer MCP server, configured as instances of DSH's own skill provider and MCP client: search Genes, compare them on Arena rankings, install or roll back Genes in the local project, and create and run local Agents. The MCP server is version-pinned and limited to its evolve tool set, which leaves out publishing and login.

Bring WorkBuddy's free and paid models (domestic and international) into DSH — no WorkBuddy desktop app required.

Connect OpenCode Zen free-tier models to DeepSeek Harness through the local OpenCode client. Real-time model discovery, per-model toggle in settings, one-click provider write. No API key required.

Unofficial provider that connects Tencent CodeBuddy open platform models to DeepSeek Harness, with automatic model discovery and a settings page for the API key.

Use your logged-in web AI (DeepSeek, GLM, Kimi, Qwen, Doubao...) as model providers in DeepSeek Harness. Web models emit tool calls, DSH runs them under its native permission system, and results return to the same web session. No API keys.