Plugins

Imports Claude Code setup into DeepSeek Harness from a native settings screen or CLI, with dry-run previews for skills, commands, agents, hooks, permission rules, and MCP config. Codex and OpenCode remain supported as secondary origins, with collision-safe apply and post-move checks.

Browse, enable, disable, and manage Agent Skills from Claude Code, Codex, OpenCode, Gemini, and custom directories in the DSH settings panel.

OpenCode Go plan usage floating pill: three-window consumption percentages (rolling/weekly/monthly) with mini area charts, backed by background sampling against the official /v1/usage API.

DeepSeek brain + automatic image transcription: attach images in the GUI and each one is transcribed via the official deepseek-v4-flash-vision-exp by default (a pure-text V4-Pro brain can see images), with any OpenAI-compatible VLM or local Ollama as alternatives.

Adds OpenCode Zen free models to DeepSeek Harness as one provider, backed by a managed, isolated OpenCode runtime, with a Settings page that lists each model and tests it.

Business knowledge-network context for DeepSeek Harness: bind a session to an OpenBKN knowledge network, query its objects and metrics through managed MCP tools, and open trace-backed provenance (execution facts and a business graph) for each answer. Ships with the OpenBKN Runtime; the provenance views need an OpenBKN enterprise license.

Floating macOS-glass DeepSeek usage panel for the DSH web UI: live official balance + token usage (today, session, 24 h smooth trend, per model) without opening platform.deepseek.com/usage. · DSH 毛玻璃用量面板：官方余额 + Token 用量

Deterministic context compression for dsh — zero LLM calls, rule-based pruning that preserves paths, commands, error traces, and open todos verbatim. Compresses ~80k tokens to a few hundred.

Detailed model usage and cost analysis, with per-session usage stats and usage queries for GLM, MiniMax, OpenCode Go, DeepSeek and more.

Clickable file paths in DSH replies: Codex-style inline open, reveal in file manager, and a mentioned-files chip list at the turn tail.

Aggregated multi-upstream web search for DeepSeek Harness: replaces native web_search with model-native grounding and agent search APIs, source attribution, and rich citation cards.

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.

Project file explorer in the details column (multi-select, drag-move, upload, download, rename, trash, system-open) with an in-session read-only preview tab for Markdown/HTML/JSON/CSV/notebook/PDF + code highlighting, a live model throughput badge, and a multiline GoalBar.

A community plugin marketplace for DeepSeek Harness, built to the official plugin spec — browse, search and install 4000+ human-curated community plugins without leaving the app. · DeepSeek Harness 社区插件市场（遵循官方开发规范）：4000+ 人工精选社区插件，每日更新。

Low-cost video understanding tool: a video_understand tool turns a Bilibili link / BV / local video into an AVIS info layer (ASR + scene structure + object tracks + YOLO labels) and returns summary + Q&A. Question-driven dynamic routing across layers (L0 ASR / L1 object tracks / L2 key-frame VLM), semantic-layer reuse for repeat questions, per-question budget cap. Python engine: core layer needs faster-whisper / opencv / yt-dlp (~200-300MB); the optional semantic layer adds ~2GB of torch / transformers / ultralytics. A bundled doctor --fix sets up the venv and installs both.

Not another memory plugin: ODR is an evolving-worlds self-improvement loop (Dream-RSI) — attempts are recorded into a Discovery Tree, and between runs thousands of strategy variants are replayed against that recorded world; a strategy, recipe or lesson is promoted only after surviving counterfactual replay, never on the model's word alone, and Sentinel gates tool calls before the budget burns; the LLM stays frozen, installable from npm as dsh-open-dream-rsi.

Attaches a stable per-conversation x-opencode-session header to OpenCode / OpenCode Go provider requests, fixing 400 MissingSessionID errors and keeping session affinity and prompt-cache routing intact.

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.

Exports the session event stream to OpenTelemetry OTLP and Langfuse as sanitized, buffered traces and metrics, off by default.

Dispatch self-contained tasks from DSH to 11 external agent CLIs (Codex, Claude Code, TraeCode, OpenCode, Gemini, Cursor, Kimi, Qwen, Copilot, WorkBuddy, Grok): a host-only bundle registering the conductor_dispatch tool plus an auto-triggered conductor skill.

Use a ChatGPT/Codex subscription in DeepSeek Harness with GPT models, image generation, web search, subscription quota reporting, model and feature controls, and browser or device-code OAuth sign-in.

Personal Agent Skills and /init plugins for pi, DeepSeek Harness, Cline, Grok Build, goose, and Aider

Signs in to a ChatGPT account over OAuth and serves that plan's models as a DeepSeek Harness provider route, calling api.openai.com/v1/responses with the account's plan scope rather than the Codex backend.

Adds a generate_image tool backed by the FAL queue, any OpenAI-compatible images API, or a ChatGPT/Grok subscription, and shows the result inline in the conversation.