Plugins

Keeps a DSH agent turn open when the model ends it by narrating work it has not done: on agent/turn-stopping the guard replays the turn log and classifies the trailing message with regexes — in the default mode wait / ask / done / gray end the turn with no model call, and only a promise of pending work reaches the judge — then has a judge chain of four dialect kinds (System One three-question noul, OpenAI-compatible, OpenAI Decisions, or the session LLM) rule on whether the turn is really over, and steers the same turn with agent.steer when it is not.

Claude-Code-compatible memory for every model in DeepSeek Harness: layered CLAUDE.md/AGENTS.md instructions with @import and rules, a persistent MEMORY.md memory with full writing guidance, refresh on resume and compaction, optional recall, background ext

Adds a Git chip beside the composer that opens a centered workbench (changes, history, files, tags, stash) plus a Git section in settings. Supports multi-account OAuth device flow and PAT with per-repository permissions (full, read, none), gates writes behind a global switch and reads behind an allowed-directory list, and refuses a push whose target remote belongs to no writable account. Diffs preview in place with line numbers, four layouts, word-level emphasis, syntax highlighting and Ctrl/⌘+F find; Markdown and images render inline, commit messages are searchable, and commit messages can be generated from the staged diff through the host LLM service. Ships 8 Agent tools, 51 local HTTP endpoints and 8 languages, with tokens encrypted at rest by AES-256-GCM.

Delivery workflow preset for DeepSeek Harness: an agent protocol plus seven tools that keep user requests verbatim, record feedback decisions, plan tasks with acceptance criteria, log real verification commands and exit codes, and write completion summaries as per-project JSONL files.

DIY workflow builder for DSH - compose multi-step prompt workflows with self-check gating, engine-enforced jump rules, agent-driven execution and a live run panel.

Skill bundle for tiered multi-agent science campaigns in math, physics, astronomy, engineering, and biomedical evidence: a shared blackboard, independent verifier and red team, wolf-pack and flanking tactics, token and time budgets, known-answer evals, a four-agent pendulum pilot, and a six-agent fourth-order pilot that caught and corrected a benchmark answer-key error. Does not claim open-problem solutions.

Pre-implementation design review gate: an Elephant agent drafts the design, zero-context Goldfish subagents attack it from fixed reviewer roles, and you approve before implementation.

Serves the OwlCoda RunKit skill in the DSH skill catalog: project-owned objectives, work items, candidate identity, verification receipts, handoffs and recovery stay in project artifacts. Installs instructions only; the project-local owlrunkit CLI is a separate setup step.

Fully local push-to-talk voice input for macOS: hold a global hotkey, speak, release — transcription is pasted at your cursor. Local-first STT (Qwen3-ASR 0.6B 4bit on MLX/Metal by default, SenseVoice and mlx-whisper fallbacks), zero external APIs, launchd self-healing service and an 8-point diagnose script. The bundled skill lets the agent install, configure (Karabiner hotkey wiring, launchd, engine switching) and troubleshoot the whole toolchain for you.

Coding agent preset plus an embedded coding-discipline skill for DeepSeek Harness: verify-first edits, minimal diffs, real test runs and evidence-based reports.

Starts the published local BeatDesign 0.2.5 workspace and connects 30 MCP tools for projects, Canvas, Assets and Timeline, with a shared-project Skill and remote-generation approval guidance. Requires Node.js 22.12+ and a free port 3020; frame extraction and timeline rendering also need ffmpeg/ffprobe on PATH (browser export does not).

Records an agent's short notes about what it browsed or thought, and lists them in a sidebar panel.

Agent tools for a local Gopeed downloader: create, inspect, pause, resume and remove downloads, diagnose or launch the Gopeed process, and receive download-complete events through a DSH background job that wakes an idle agent. Process diagnostics and launching are Windows-only; the download tools work wherever Gopeed runs.

Connects an existing local BeatGEO instance through its scoped MCP key for brands, AI visibility evidence and drafts; includes setup diagnostics and a Skill for the same brand's SEO dashboard.

Deny-only tool blacklist per agent preset. Tick a tool off in Settings and it leaves that mode's tool schema and its calls are rejected; nothing is ever enabled or whitelisted, and tools nobody denied are left alone. Each row expands to that tool's own description, and rules live in one JSON file outside the profile.

Memory for DeepSeek Harness with five sections (memories, tree, profile, graph, inbox), a rule-based capture policy that decides what to keep and what to drop, and hybrid BM25 plus vector retrieval over parent and child chunks, backed by twelve agent tools that read and write the same local files.

Unified rules/guidelines layer for DeepSeek Harness. Keeps every agent guideline in one local rule library with default (always-on) vs local (task-domain) coverage, syncs the effective set into the AGENTS.md managed section, and adds semantic routing, a classification tree, a management page / right-sidebar panel, an in-panel assistant that can collect existing guidelines, calibrate pending rules, re-classify them, and report an issue ledger grouped by owner, rule copies (right-click move/copy, folder copy, jump to origin), decision points with branch conflicts, and per-session branch choice.

Lingshu startup injector: runs brain.py startup on every new agent session and injects persona / memory / todos automatically. Requires Python 3, and the Lingshu skill installed at ~/.dsh/skills/lingshu; silently does nothing if either is missing. Main repo also ships a bundled SKILL.md entry point.

Sets a per-root-session inference limit of 1–10; at 1, queues native subagent dispatches and runs child branches serially while the parent waits.

Disk-backed persona card, handover note and long-term memory for DSH agents; each new session reloads them, and every memory carries a source tier, stamped revocation and soft archive.

Local-first research toolkit for DSH: registers kb_grep, kb_list, and kb_save model tools. kb_grep searches the markdown knowledge base with ripgrep when present and falls back to grep, while kb_list and kb_save go through the scoped ctx.fs filesystem service; the KB defaults to ~/dsh-kb. The repo also ships two skills (local-first-research and session-memory) that must be copied into a DSH skills directory yourself; they are not installed by the plugin bundle. The plugin is pure Node ESM with no npm runtime dependencies and ships a framework-free node test harness. Installable via plugin_manager install_bundle; no client UI is bundled.

A row of quick-phrase buttons in the DSH composer: one click sends "please continue" or any saved phrase, so a stalled agent keeps working without touching your draft.

A persona that grows from experience: remembers what happened, becomes someone from it.

Run your DSH agents like a company: departments, order dispatch, attempt credentials, an audit ledger and cost accounting on top of ctx.agents/subagents — plus a work board, an org chart and DAG task planning, no native team layer required.