Plugins

Native conversational image generation for DeepSeek Harness: ask the agent to create an image, and it handles generation and keeps the result directly in the conversation.

Project-scoped cross-session memory: seven-layer SQLite store (soul/user/project/fact/lesson/rules/topic) on node:sqlite, cache-friendly first-message injection plus per-message keyword hits, memory_remember/search/find_similar/read/update/project tools, and idle-window consolidation ("dream") with peak-hour suppression. Prompt texts ship as per-language data files — the framework supports multilingual users.

One-command skin plugin: 8 original themes, translucent wallpaper with opacity/blur, per-user accent, and shareable theme-pack import/export, favorites and surprise-me — purely native on DSH's token system.

The memory that dreams — cross-session memory for DeepSeek Harness: recalls you and your projects across sessions, consolidates memories while idle (autoDream), freezes conflicting memories for your review, and keeps a replayable audit trail. Memory stays on your machine as SQLite with human-editable Markdown mirrors; four-way recall (keyword, vector, BM25, entity graph) and an interactive memory panel ship with it, plus 10 model tools, an MCP server, an external API and a CLI. Summarization and consolidation run on the host model you already configured; with a local embedder, semantic search runs fully offline.

Generates game art from reference images via Seedream image generation and MiniMax image-to-video, assembling eight-direction sprites, sequence frames, and skeleton animations with local green-screen keying.

The memory that dreams — cross-session memory for DeepSeek Harness: recalls you across sessions, auto-consolidates in its sleep (autoDream), freezes conflicting memories for your review, and keeps a replayable audit trail. Offline-first local semantic search over SQLite with human-editable Markdown mirrors, an entity graph, an interactive memory panel, plus an external API and CLI.

The memory that dreams — cross-session memory for DeepSeek Harness: recalls you across sessions, auto-consolidates in its sleep (autoDream), freezes conflicting memories for your review, and keeps a replayable audit trail. Offline-first local semantic search over SQLite with human-editable Markdown mirrors, an entity graph, an interactive memory panel, plus an external API and CLI.

AI image and video generation for the DSH Web GUI: text-to-image and image-to-image over per-channel model catalogs with per-family request shaping (gpt-image, Grok Imagine, Nano Banana, Seedream, GLM-Image, Qwen-Image, MiniMax image-01, DALL-E 3), a sidebar generation studio, an infinite canvas with node workflows, files preview and canvas skills, and a prompt template library; the video side adds text-to-video, image-to-video, first/last-keyframe and multi-reference modes on an async submit/poll/download pipeline, host-side video tools, video nodes on the canvas, and clip stitching of two or more video nodes into one MP4 with the local ffmpeg.

Cross-session memory engine for DeepSeek Harness: SQLite store + human-editable Markdown mirror, autoDream consolidation, offline semantic search (local vector/rerank/clustering), entity-attribute-timeline, Sleep Mode, custom-model autoSummarize, and 7 memory tools.

Long-context preparation, Dream memory, task verification, workflows and computer interaction for DSH.

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.

Experience memory and reflection for DSH agents: automatically extracts candidate lessons after tasks and recalls user-reviewed lessons in relevant later tasks. Supports source provenance, project-scoped retrieval, conflict handling, usage feedback and expiry review; capture and recall have separate controls, and writing lessons to AGENTS.md requires preview and explicit application. A step-by-step first-run guide (4 steps) now opens inside its settings panel.

Let your coding agent dream: strategies must survive counterfactual replay before they earn trust. An offline self-improvement loop over an evolving world model — no fine-tuning, the LLM stays frozen. Speaks MCP. Ships its Python server inside the package

Biomimetic memory system for DeepSeek Harness: a single SQLite store (node:sqlite, WAL) whose Markdown tree is kept as a read-only mirror; memory tools, frozen-snapshot injection at session start, graded approval gating, on-demand extraction of the current session, near-duplicate merging, an archive and supersede lifecycle, memory metabolism (dream), memory pins, semantic recall over local embeddings, and the /memory command.

A writable, git-versioned self for DeepSeek Harness: persona files injected every turn, a persona-only memory layer, topic-keyed journal→dream promotion gated by your 👍/😑/👎 ratings, whitelisted self-upgrades, and a Settings persona tab.

Optimized fork of dsh-image-gen with batch generation (count), gallery pagination, lazy loading, fetch retry/timeout, and 7 providers: Gemini/OpenAI/Seedream/DashScope/Agnes/GLM-Image/Stability AI.

Sends excerpts from recent Chinese Markdown conversation exports to the DeepSeek API (API key required) to generate a dream, saved as a local Markdown file.

Image generation through eight provider APIs (Labnana, OpenAI, Gemini, Seedream, DashScope, xAI, Zhipu, ComfyUI) with multiple saved profiles, a per-conversation gallery, and credit tracking on Labnana.

Image generation with a sidebar gallery page and three agent tools (paint_image, paint_images, edit_painting); preset providers include ModelScope, Google Gemini, OpenAI, SiliconFlow, Volcengine Seedream, Alibaba DashScope, xAI and Zhipu, plus any OpenAI-compatible endpoint, each with its own proxy setting.

ui_mockup 工具 Consumer：研讨阶段生成 UI 线框图/高保真草图，落盘设计稿并提示确认后锁定设计规格；含客户端卡片、图片路由与 i18n

Generates UI wireframes and high-fidelity mockups in DeepSeek Harness with selectable DashScope and Volcengine image providers.

Labnana image generation for DeepSeek Harness: text-to-image / image-to-image / precise editing with credits estimation, subscription balance and web settings UI.

Multi-engine image generation inside the conversation: an agent tool plus a composer-dock panel with an on/off switch, engine presets (Volcengine Ark, SiliconFlow, OpenAI-compatible, custom) and local spend tracking. You supply the API key for the engine you pick.

A soul for DeepSeek Harness: an in-character Whale Chan agent preset with layered long-term memory and dream-like consolidation.