Plugins

Scheduled tasks panel for managing DSH agent and system crontabs with natural language input and execution logs.

Audit each finished assistant turn with an independent reviewer model and steer the agent to fix failed output, with at most 2 review rounds per turn and SOP-folder standards injected as an extra review dimension.

Pins every request to the native max-effort tier and adds a per-model/per-mode reasoning-depth panel with a 0-20 capability slider, isolated Velocity/Apex profiles, and offline reasoning toolboxes. Distributed as an obfuscated build; commercial use allowed, reverse engineering closed.

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

An RTS-style orchestration dashboard where commands replace chats: a resident commander agent decomposes each order into task briefs with acceptance criteria, typed subagent troops (recon/engineer/medic/scribe) execute them across isolated workspaces, and every session is indexed by the order that started it.

Explicit cross-session work state for DeepSeek Harness: goals, decisions and next steps captured automatically from host events or via a model-visible work_state tool, inspectable with /checkpoint.

Whole-report verification for scientific reports: per-claim checks against Crossref, PubMed (retraction scan), ClinicalTrials.gov, UniProtKB, GEO/SRA and PatentsView, URL accessibility and title agreement, claim-vs-source meaning at temperature 0, and a durable restartable audit ledger with an annotated report.

Self-evolving project-level Agent for DeepSeek Harness: 16 SDD workflow skills (clarification, PRD, issue, coding, locating, acceptance, review) plus project memory and knowledge that compound over time.

Watches agent execution traces and fires an LLM review at every successful turn end when signals trip, crystallizing reusable workflows into registered skills that improve progressively with later runs.

Drag-and-drop file upload into the conversation composer, token usage pill with quota tracking, and session archive management — a three-in-one daily-driver addon.

Local knowledge base manager for DSH agents: multi-format import, CJK-aware chunking, sqlite-vec vector + BM25 hybrid search with bge-reranker-base rerank, snapshots, kbpack export/import and cross-KB search — 22 agent tools plus a Web panel.

Nine consolidated tools that give agents full access to the stool ops CLI: server management, database query/redis, log search/tail, CI/CD deploy and history, MFA codes, git operations, notes, todos, and misc utilities (accounting, weekly reports, audit, project listing, nginx presets).

Settings panel for global and per-workspace AGENTS.md, with identity and persona injection, runtime-context toggle, and result notifications.

Track the origin of local development ports on Windows and safely manage verified DSH services.

MCP server that searches the Roblox DevForum and official creator docs so AI coding agents can debug Roblox games against real community and engine knowledge.

A Deepseek Harness plugin that gives its UI color themes.

Private, per-project system-prompt rules for DeepSeek Harness — matched by git remote URL, repo path, or cwd prefix; worktree-aware; never committed to the repository.

界面草图：会话输入框内绘制界面草图，一键转为 JSONL 语义嵌入输入框，随需求发给 DSH agent

Delega tareas, reviews y debates a modelos alternativos (DeepSeek, MiniMax, Ollama, etc.) vía el CLI gateway-companion, sin MCP.

Ports the obra/superpowers methodology as 14 native DSH skills covering planning, TDD, debugging, and code review.

Plays a short synthesized ding in the browser tab the moment an agent finishes a turn, built entirely with the Web Audio API; no backend audio and no OS notification.

Streams DeepSeek Harness sessions, messages, tool activity, and turn outcomes to a JARVIS Mission Control board with task status and human review.

Three-layer local memory for DeepSeek Harness: L1 snapshot memory (MEMORY.md/USER.md) read on demand through the memory_* tools + L2 searchable knowledge base (facts + SQLite FTS5, Chinese search via sliding-window tokenization) + L3 import from Hermes/Claude Code/Codex/WorkBuddy and from approved Agent Hub documents (memory/global, memory/projects, accepted decisions) with content-hash dedup. v0.2.0 removed every automatic injection: memory enters the context only when the model calls one of the 12 memory_* tools, and data stays on the local drive.

iPhone-style agent phone: dual-panel calls & SMS, RCS group chat with trust gates, cross-device agent messaging via the registry inbox bridge, L0–L4 trust badges and evidence audit. Experimental: trust summaries are not a security guarantee, and SMS/signalling is relayed through the operator's inbox (visible to them); E2E encryption is planned.