Plugins

Projection-driven live DAG for a Session's subagents and durable workflows: status and navigation, deterministic deep-chain layout, fit/pan canvas controls, and current-session node rearrangement.

Session change-review plugin for DeepSeek Harness: tracks write/edit tool calls per session and renders line-level diffs with customizable colors, with session isolation, subagent aggregation, and SSE live updates.

Dedicated model routes, tools, and system guidance for vision, compaction, reviews, subagents, titles, and image generation.

Expert-mode agent preset for DeepSeek Harness (v0.9.2, npm dsh-expert-mode, bilingual EN/ZH): a chief coordinator plus 17 domain-expert subagents with automatic task delegation. Features: taskboard scheduler (file-system task state machine pending/ready/running/done/failed, dependency DAG, atomic claim, retry, crash recovery), quality gates (5-stage pipeline for high-risk tasks: requirement clarity, implementation, verification, independent review, integration, with 2-round rework limit), Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (~28% token savings), expert persistence, inter-expert file message bus (direct P2P comm, zero coordinator relay), cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance, backend, DevOps, database, QA, security.

Multi-agent orchestration agent preset for DeepSeek Harness: one chief orchestrator that never implements itself — it triages every request, has a PM expert plan the work, and delegates implementation to domain experts via a merged expert roster (list and summon tools), scheduling parallel work through a dependency-DAG taskboard and a file-based message bus, with delivery gated by an independent review. Ships 11 core experts; more expert teams (Agency agents EN/ZH, classic collections) are one-click downloads from the settings page over dual GitHub/CDN channels with sha256 verification. Published on npm as dsh-expert-orchestrator (requires DSH >= 0.1.7-alpha.2).

Use plugins from ecosystems such as Claude Code and Codex in DSH: add Git plugin sources and marketplaces, upload plugins and skills, add MCP servers, automatically discover and toggle local skills, and manage plugins, skills and MCP in one place, including plugin-provided subagents, Hooks and LSP.

Configurable default model for subagent delegations via settings.yaml, with single-model and multi-model round-robin or random strategies.

Self-hosted DSH Web operations panel for safe restart and upgrade, health diagnostics, model-usage statistics and provider quota lookup, backup and session management, task notifications, skill controls, subagent model routing, and Linux permission maintenance.

Intelligent token optimization via Jev System One triage, dynamic tool pruning, and subagent routing.

Compliantly use your own Antigravity quota in dsh: bridges your local logged-in official Antigravity CLI (agy) session as the chat and subagent model provider.

Per-conversation persona / master prompt plugin: create, edit, switch and delete persona templates from the composer toolbar, with highest-priority system-prompt injection, fixed interaction guardrails, subagent inheritance, new-conversation default, and local JSON persistence.

Register locally-defined custom agents as callable subagents in dsh: the main conversation invokes any agent by name via use_agent, each running as a real dsh subagent with its own persona. Supports breakpoint resume for interrupted runs.

Adds switches for Ralph Loop, Agent Teams, and Codex Subagent above the DeepSeek Harness composer and saves their settings per conversation.

Replacement web interface for the unmodified official DSH release: collapsible reasoning groups, a turn timeline with adjustable reading width, cards for tool calls, a model and reasoning-effort picker, an Agents view that shows subagents as a tree, optional chart and diagram widgets in answers, light and dark themes, and a phone layout. Installs from npm; uninstalling restores the official interface. An optional jev_presentation_advice tool, enabled only once you save a TypeSafe key, sends up to four recent user messages and a short outline of the planned answer to api.typesafe.ai.

Delete a session from the UI (session-header button or sidebar row menu) or with the session_delete tool: stops and releases a running agent and its live session first, then removes the log directory, projection cache and workspace accounting, and cascades into the subagent sessions it owns while leaving forked branches untouched.

Smart session titles for DSH: after each conversation turn an independent auxiliary LLM call summarizes the full user+assistant transcript into a title that follows the session's real topic instead of echoing the first message; the first message is titled instantly, failed built-in titles auto-retry on later turns, manual renames are never overwritten, and subagent/fork sessions are skipped.

Model high-availability failover (quarantine, circuit breaking, probe recovery) and subagent orchestration (fanout/pipeline/supervisor) with bilingual settings UI.

Desktop side of a native Android DSH phone app: scan a QR code to pair, then chat, approve tool calls, answer questions, drive subagents and follow background jobs from the phone over an end-to-end-encrypted channel; one device at a time.

Adds a subagent_codex tool that delegates tasks to the local OpenAI Codex CLI, running the work in an isolated external process.

Task panel for the DSH Web sidebar: publish tasks, auto-distill related sessions, and drive plan/develop/review stages with subagents plus in-panel acceptance.

Automatically and intelligently routes each delegated task to the best configured model using aliases, capability tags, and usage guidance—keeping routine work fast and affordable while sending complex work to stronger specialists. Configure your model team in the Web UI or guided setup, run specialists in parallel with reliable result joining, and see the chosen model at a glance in subagent views and inline in Better Sidebar's Tasks tree.

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.

Adds Delete to the DSH sidebar session menu, moving the session — and its whole descendant tree when it has subagents — into a recycle bin that relocates the directory on disk (an atomic rename, never a copy), plus a sidebar bin panel with title and full-text search, workspace filter, sorting, per-session chat-log viewer, restore and permanent delete. Deleting also clears the workspace slot, the pin, the archive flag and the projection-cache row, so a restore puts the session back at its original sidebar position; permanent deletion also clears the schedules bound to it and removes the emptied project directory. Verified on DeepSeek Harness 0.2.1-rc.2, with a whole-profile residue scan coming back clean.

Expert roster for DeepSeek Harness: 636 experts across 22 divisions with full Chinese names and bios, summoned as subagents from the @ menu or by the model through list_t_experts / summon_t_expert / summon_t_experts, plus custom experts and a skill on/off switch.