Plugins

Export and import DeepSeek Harness configuration across machines as same-OS .dshmig archives, with credential redaction, verification and rollback.

Official Scalix Cloud MCP plugin and server configuration for DeepSeek Harness, Claude Code, Cursor, Gemini, and Antigravity.

Agent tools for a self-hosted mem0 server: add, search, get, update, delete, history, reset and status memories, with a settings-panel configuration card.

Bridge Pi Agent's skills and configuration into DeepSeek Harness

Bridge OpenAI Codex's memory, skills, and configuration into DeepSeek Harness

DeepSeek Harness plugin for model smart configuration & capability adaptation, ported from ZCode

Configuration UI for the official OpenViking memory plugin: connection and user-key setup, local connection diagnostics, a per-session memory toggle in the composer, memory isolation that keeps recall inside the current topic, and recall tuning for score threshold, injected item count, query expansion and excluded URIs.

DSH plugin: shows the DeepSeek account balance at the bottom of the sidebar, with a configuration card in settings.

Back up your DSH profile configuration to a private GitHub Gist on a schedule, with merged restore.

Installer and configuration base for a five-plugin DSH assistant suite: probes the Python, WPS and workspace environment, installs the sibling plugins shipped in the same repository, and generates the workspace baseline (instruction layer, memory seed, skills, settings); it also contributes its own settings section and its own host-side setup and check logic.

Visual channel configuration UI for DeepSeek Harness (feishu / imessage / telegram / ...)

Code RAG semantic index panel and settings card: live index bar with start/rebuild/cancel, plus one-click detection and configuration.

Global Alt+M model command palette for DeepSeek Harness Web: fuzzy search over models and providers, favorites and recents, per-model reasoning effort, provider and model configuration, request retries, capacity presets, and optional OpenRouter image/video generation tools.

Infrastructure as code: gated plan/apply, state and output inspection, and configuration validation via the terraform CLI.

Diagnose and repair a DeepSeek Harness (dsh) installation — duplicated profile modules, unusable model configuration, broken settings — from the settings page, a slash command, or a standalone CLI that works even when dsh cannot start.

Conversation outline plugin for DeepSeek Harness: a side panel and a full-width curtain as two views of the same outline; three search scopes — titles, full text and other sessions; several ways to jump — a heading, a turn header, the end of a section; a full outline or a questions-only reading mode, switchable at any time; a reading position remembered per session; and a Chinese/English interface with a plugin-configuration card.

Transactional data-only configuration pack manager with integrity, ownership, preview, diff, and rollback safeguards.

DIT.ai provider bundle for DeepSeek Harness: installs 29 OpenAI Chat Completions models and 10 Anthropic Messages models from one DIT_API_KEY, with protocol-specific thinking configuration.

Registers a `config_doctor` tool that checks the harness's own configuration for problems that boot silently: fields a patch dropped by whole-config replacement, patches targeting missing entry ids, and tool-name collisions. Read-only.

Discover and run project tasks through Harness Jobs, inspect run receipts, and check project configuration with an Agent tool.

Optional DSH configuration bundle that connects the existing MCP client to hosted BaizhiCloud Agent Toolkit using a user-provided BAIZHI_API_KEY Bearer header; tool calls may incur charges.

Sync your DeepSeek Harness (DSH) configuration between machines over a private git or WebDAV channel: settings, plugins, MCP servers, skills, agent presets, workspaces and provider credentials. DSH 配置远程同步插件（私有通道，明文自用）。

DSH plugin for bounded agent evaluation: compare an original with candidate prompt or supported configuration changes against user-supplied checks, record evidence and costs, and leave adoption to the user.

Model switching, model capability configuration, fixed compaction models, subagent routing, and input history enhancement.