Plugins

DeepSeek Harness plugin that connects the agent to Postiz over MCP: list connected channels, fetch platform posting rules, and schedule, draft, or publish social media posts across 28+ platforms.

Give DeepSeek Harness a real office environment. Univer Office Plugin brings spreadsheets, docs, slides, canvases, relational tables, and more into one runtime — with connected data, validation, versioned changes, and isolated worktrees for multi-agent collaboration.

Cross-agent, local-first persistent memory plugin for DeepSeek Harness (DSH), powered by Mnemon. It shares long-term memory across Mnemon-enabled agents and adds runtime memory, searchable project documents, semantic recall, knowledge graph, and a Sidebar UI.

Registers the local flowix-cli MCP server so the agent can search, read, create, and edit Flowix memos and mind-map artifacts.

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

DeepWatch's capabilities, installable into an existing DeepSeek Harness profile

Registers the local flowix-cli MCP server so the agent can search, read, create, and edit Flowix memos and mind-map artifacts.

HarmonyOS NEXT skill bundle for DeepSeek Harness with offline API references and DevEco, HDC, and emulator automation guidance.

Agent skill for DeepSeek Harness: rewrites Russian text to remove 64 markers of AI generation (bureaucratese, calques, ChatGPT fingerprints), with a corpus-calibrated scanner, audit mode and author-voice calibration.

Desktop pet (QQ-pet style): floats in the corner, draggable, feedable, playable.

Local SQLite taskboard as a native overlay page: projects, tasks, comments, relations, attachments and workflow automation, with backlog → todo → in_progress → in_review → done statuses, `taskboard_*` Agent tools that can only submit work to in_review, a headless JSON CLI and a packaged skill.

White-box AGI architecture exploration: metacognition (self-cognition loop), continual learning (knowledge flywheel), world model (condition space, spatiotemporal memory graph), self-improvement (bootstrap discipline), zero-LLM white-box pipeline, and auditable trust guardrails.

A live iOS Simulator or USB-connected iPhone inside the conversation: 22 agent tools for booting, building, driving the UI by accessibility identity or OCR text, list-row actions and SwiftUI preview hot reload, plus a streaming sidebar panel you can tap and drag on.

Free, keyless web search for DSH: 7 engines (DuckDuckGo/Bing/SearXNG free + Exa/Perplexity/DeepSeek paid), auto-failover, settings-page UI with API key inputs and official links, web_fetch, and an engine test tool.

A DSH plugin for fiction, short-drama, interactive-game, and video-recap production

Chrome sidebar extension that lets DSH operate your browser directly, no vision capabilities required.

Persistent multi-model squads configured in Settings and selected in the Composer, with per-member model and tool policies. By default the lead Agent completes simple work itself and delegates only when the saved squad is needed; delegated work runs as a bounded DAG with optional review and repair. Run Center tracks retries and per-member tokens from official Harness usage events.

PLUR memory for DeepSeek Harness — engrams injected straight into the prompt, no tool call required

Tracks DeepSeek token usage, per-call and session costs, and account balance with cache-aware charge animations in the DSH Web UI.

Evolve skills, agents, prompts, code and plugins from inside DeepSeek Harness, with AgentDescent.

Adaptive reasoning slider skin that maps each model's available reasoning efforts onto a 0–30 visual intensity scale, with synchronized portraits, background, and interface colors.

Second-model auto-review on the approval answerer chain: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default.

Plays an intro full-frame on a new conversation, or every time you open the one you pinned. Four clips ship inside the plugin itself — embedded in code, with no separate video files — and an in-app library switches between them, previews the choice, and accepts your own clip. The pin button sits beside Settings.

在 dsh 里装上这个插件即可，无需登录、注册或填 API Key，就能使用包括 Muse Spark 1.3、MiMo V2.6 在内的前沿模型——完全免费，不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API key — the frontier models are just there, Muse Spark 1.3 and MiMo V2.6 among them. Completely free, with no usage cap.