Integrations & Sharing

Desktop notifications for DeepSeek Harness turn completions, with per-outcome controls and include/exclude keyword rules.

Open DeepSeek Harness workspace directories in VS Code directly from the web GUI.

Feishu/Lark bridge for DeepSeek Harness: scan-to-connect PersonalAgent binding, streaming cards, git-worktree project workspaces, parallel per-scope tasks, multi-role agents, cross-session notify, in-chat model/key management, and a safety-net guardian that still answers in Feishu after dsh crashes.

Tencent CodeBuddy model provider for DeepSeek Harness with browser OAuth sign-in and Web UI quota display; install from npm with `dsh plugin --profile web add @tnnevol/dsh-codebuddy`.

Notifications for four session states, with browser alerts and prompts.

ACP bridge between BitFun and DSH.

Bridge DSH agent sessions, tool calls, and approvals to the CodeIsland macOS notch panel over a Unix socket, with in-panel allow/deny.

Global Chinese mode: a compact pill switch beside the composer that injects a language requirement into any preset's system prompt (complete personas excepted); reply, thinking and tool output each toggle between Chinese and English, and anchored presets are supported.

Deepseek Harness plugin that allows automatic delegation of subtasks to different models based on user preferences

Unified DeepSeek Harness plugin: role-based subagent routing + per-agent evolution (prefercmd/memory as knowledge allow/deny lists), so repeated tasks start from proven commands and save tokens. Unified subagent routing and evolution: prefercmd/memory serve as knowledge allow/deny lists, saving tokens.

Windows desktop launcher for the DSH Web UI: desktop shortcut, silent start, system tray with open/full-exit (stop service, close app window, quit tray), PWA app window with focus-instead-of-relaunch, install prompt, and task-completion notifications.

Multi-channel push for DeepSeek Harness: Server酱, PushPlus, Bark, DingTalk, WeCom, Telegram, Feishu, ntfy, custom webhooks and more, configurable from the settings panel and callable by other plugins via the pushNotifier service.

Use ChatGPT OAuth and OpenAI Codex models in DeepSeek Harness—no API key or Codex CLI required.

GitHub Copilot LLM adapter: OAuth device-flow sign-in, live model discovery from the Copilot API, vision support for image-capable models (gpt-4.1, gpt-4o), and two wire protocols (Chat Completions and Responses API) with automatic endpoint routing per model.

ChatGPT Codex login, sortable catalog, and Fast models for DeepSeek Harness

An AI routing gateway that runs as a DSH plugin. Adds a Routing System sidebar panel for suppliers, account pool, fallback combos and API keys, and serves an OpenAI-compatible endpoint at http://localhost:3080/v1.

Per-request thinking budgets, a compaction backend, and a settings tab for the local Qwen3.8 line (llama.cpp or NInfer).

DeepSeek Harness plugin: connect logged-in Antigravity CLI (agy) as chat and subagent model provider

CLI & MCP server for Tuning Engines — fine-tune LLMs on code repositories

Bidirectional Lark/Feishu controller for DeepSeek Harness

Enhanced ACP (Agent Client Protocol) server for DeepSeek Harness (dsh) — drop-in bridge for the Zed editor: block-level streaming, usage/stat telemetry, model & reasoning-effort switching, permission presets, session resume & archive. Install: dsh plugin add

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.

Two-tier model routing: a strong tier plans, advises and reviews while a cheap tier implements, with plan-mode-aware auto routing, a high-impact escalation guard, failure auto-escalation, and subagent tiering.

Config-driven lifecycle hooks plugin for DeepSeek Harness

Codex App Server model provider for DeepSeek Harness using your local Codex login.

Native desktop and webhook notifications for DeepSeek Harness.

Settings card for the DSH LLM auto-retry engine: tune retry count, backoff and jitter live from Settings -> General, with configurable retryableCodes chips - defaults add INVALID_REQUEST so OpenAI-style HTTP 400 reasoning_text errors in thinking mode get retried automatically.

Compact Codex coding mode for DSH: light prompt guardrails against GPT over-explaining, with an editable prompt and native Codex-style tools.

Model Pro — DSH plugin for llm-pi-ai provider lifecycle management

Per-round thinking-level (reasoning_effort) control for DeepSeek Harness: pick Auto and it schedules low/high/max from the recent tool-call history, or fix a wire level (off/on/minimal/low/medium/high/xhigh/max) manually, with custom wire mapping, a model-aware capability guard, and context-window presets (64K–1M); its per-model capability card pairs with a separate plugin, [dsh-llm-openai-completions](https://github.com/drscrewdriver/dsh-llm-openai-completions) (installable from dsh-market), so custom OpenAI-compatible gateways (vLLM / LM Studio / self-hosted) can try reasoning — the card writes llm-pi-ai capabilities, the adapter drives the wire (compat.thinkingFormat), and this plugin auto-maintains the takeover list.