Plugins

Delegate from DeepSeek Harness Web to existing Codex CLI, Codex Desktop and Claude Code sessions with progress and completion callbacks.

Independent workspace and conversation personas with adaptive styles, approved communication preferences and role-based routing to registered DSH models, including models supplied by Codex and Claude Code provider plugins.

Composer and sidebar helpers in one plugin, each switchable in Settings: a git Changes panel, Turn rollback, Resume after an AIProxy outage, Project memory (notes per project that later chats read, off by default), a Task board (kanban board of chats by their live state), Assistant (one lasting chat named Damon that sets reminders with dsh scheduled tasks and reads your other chats; it changes a chat only after an approval) with Assistant callouts, Assistant always free (long steps go to background subagents) and Assistant news from chats (off by default), Remote computers (another Mac's dsh over Tailscale, off by default), 11 extra UI languages and Automatic updates.

Live skill provider that adds skills from 60+ other agents' directories (Claude Code, Codex, Cursor, Gemini CLI, Copilot), Claude Code plugin marketplaces, and any git repository of skills to the dsh catalog without copying or symlinking; deduplicates, repairs frontmatter, renames name collisions, and ships a CLI (list, add, sync, doctor).

Installs a Web-profile helper that diagnoses and writes MCP config so Codex, Cursor, or Claude Code can spawn dsh --profile codex.

Smart subagent routing and evolution: bind roles to any provider/model registered in DSH, including models supplied by Codex and Claude Code provider plugins, with workspace learning.

Stable, editable PPTX generation for AI agents — semantic IR in, native DrawingML out

Gated multi-agent pipeline for OpenSpec changes — six opx_* tools drive the phase state machine, two agent presets (developer and reviewer) carry implementation and review, and 23 bundled skills define the quality standards they are checked against; full mode runs analyze, implement, then tool, task and dimension-based quality review, while simple mode runs implement and one merged quality review.

Load Claude Code assets into DSH at runtime — skills, slash commands, rules, permission rules (deny/ask/allow), subagents and hooks from .claude/, plus Claude Code plugins (plugin.json / marketplace / skills / agents / MCP), via an in-memory IR that keeps .claude as the source of truth and writes back only when you opt in. Also surfaces Claude Code auto-memory in the system prompt, read-only by default, with a write-back switch in the /cc-memory panel. Eight packages: one bundle that installs the whole set, plus the loader and six adapters (skills, permissions, agents, hooks, mcp, memory).

LLM provider that runs the locally installed Claude Code CLI as the model backend, so requests go through an existing Claude subscription instead of a metered API key; native tool calls are bridged over MCP.

Bring your existing Agent Skills (SKILL.md) library to DSH: discover skills across Claude/Codex/Cursor/Gemini paths, inject a progressive-disclosure index, and load bodies on demand.

One shared Obsidian vault for every agent: dependency-free Python core (search/promote/adjudicate/forget), vault template, dsh plugin (memory_search/show/submit/status).

Publishes the running DSH host as a Model Context Protocol endpoint, so other harnesses such as Claude Code, Cursor, Codex or another DSH can start and continue sessions, read transcripts, wait on or cancel turns, and answer pending approvals; every call is attributed to its caller, and owner-scoped sessions keep callers apart.

DSH plugin for generative UI: the model writes an interface instead of describing one. Declarative DSL compiled and executed in a DOM-less Worker sandbox, then drawn by the host with native DOM; a sandboxed-frame escape hatch for anything the component in

Hierarchical Claude Code-style memory: user + project scopes (project memories committed to git for the team), MEMORY.md index auto-injected at session start, context-window guards, pure files.

Registers six spec-driven + test-driven workflow skills for DeepSeek Harness: OpenSpec spec authoring fused with Superpowers TDD discipline into a Phase 0-4 pipeline with review gates. Zero runtime dependencies.

Reads the files that AGENTS.md references with @path imports and injects their content into model context, with byte budgets, compaction re-seeding and a six-language settings card. v0.5.x expands the imports of every instruction file the harness loaded (including a project AGENTS.md picked up mid-session, needs DSH 0.2.0+) and offers an opt-in live mode (off by default) that watches injected files and re-injects them on change, with settings-page controls; use 0.2.x on DSH 0.1.7.

ICVO coding-standards kit for DeepSeek Harness (formerly dsh-coding-kit): a bundle plugin that registers tools on load and injects the standards only when apply_coding_standards is called, plus a P0 gate CLI (npx spec-wave) with G1-G7 process commands, skills install, host apply, and IDE-block refresh.

Manage Git-backed DSH plugin markets, installed agent skills and optional Codex hooks from the web settings page.

Multi-lens structural analysis skill: adversarial-first analysis across 16 lenses in 4 categories with 10 structural tools, confidence calibration, and fact-bound layered output.

Scans 20+ AI agents on this machine (Codex, Claude Code, cc-switch, Hermes, opencode, Gemini, Grok, Kimi, CodeBuddy, Trae, OpenClaw, Qoder, WorkBuddy, Zcode, Cursor, Windsurf, Cline, Roo Code, Qwen Code, ...) and one-click syncs, manages and adds their MCP servers and skills into DSH — global or per-workspace.

Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.

Technical-preview local graph memory for DSH and Codex: recalls owner-global and current-project evidence before each turn, writes USER and ASSISTANT records separately, and preserves project, session, actor, and source provenance for a visual atlas and cited knowledge pages.

Memory Lake as a persistent memory layer for dsh: memory_search, memory_remember, and memory_forget tools over the memorylake CLI, a session status line, and guided setup/diagnostic skills, sharing one ~/.memorylake identity and memory set with the Claude Code and Codex plugins.