Plugins

An Orchestrate tab in dsh-better-sidebar and 14 orch_* tools to spawn, prompt, fork and cancel agent chats, run command, scrape, http and agent tasks on local, ssh or remote runners, show provider status cards, and serve a secret-protected machine API. Requires DSH >= 0.1.1-rc.1, Node >= 22.5, the web profile and dsh-better-sidebar.

Posts a follow-up prompt into opted-in chats that fall silent, and offers a secret-protected HTTP API that posts a message into any chat. Requires Node.js 22.5+.

Adds a system-prompt rule that makes DSH agents look for existing work before they build.

Publish agent output to Reviso for human review, browse published documents from the sidebar, and find them again from the session that produced them. OAuth is host-mediated: Reviso tokens stay in DSH credentials and the browser only receives short-lived embed sessions. Requires a Reviso account or a compatible self-hosted Reviso server.

Picks PTC or native tool presentation per task and switches it at runtime for the model or the user.

Deterministic review of synthetic AI-agent claims in DeepSeek Harness, reporting bounded verdicts, reasons, and evidence references.

A durable RAG-enhanced long-term memory layer for LLM agents, featuring holographic memory, state-slot conflict detection, and timeline retrieval. Requires Python 3.10+ and this repository's Python dependencies: create a venv and run pip install -e ".\[dev]" in the checkout before enabling the plugin (the bundled installer is a PowerShell script, i.e. Windows).

One read-only index of every local AI-agent session (Codex, Claude Code, DSH, Trae, or any JSONL source) grouped by project, plus an append-only shared board for decisions and handoffs so switching agents leaves no context gap.

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

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.

An animated companion that shows live DSH agent progress in the macOS notch.

Skill Forge for DeepSeek Harness: distill a conversation or pasted context into a reusable SKILL.md, so a similar question later hits a skill instead of re-deriving the answer. Includes 4 model tools and a Web GUI panel.

Auto-continues turns stalled by DSML tool-call markup leaking into reasoning.

Opens a native side conversation forked from the active conversation, with live parent context, Inline & Spill chain recall, relay to the main conversation, and usage stats.

Adds the models of your own GPU Hugging Face Space to the model selector, starts the Space when you send a message, shows its start progress, and pauses it when idle or at a time limit. Requires a Hugging Face account with a GPU Space serving an OpenAI-compatible API, a Hugging Face token stored in the DSH vault as HF_TOKEN, and a paid plan for GPU hardware; Hugging Face bills the GPU time.

Adds a right-sidebar panel that lists the skills available to the current session, searches and tags them, combines them with your own saved prompts, appends the selection to the composer in one click, and can pin skills and prompts as always-on context injected through the system prompt.

Leanary: a mathematical research plugin for DeepSeek Harness, with persistent research workflows and Lean verification.

Remote workspaces for DeepSeek Harness: pick an SSH host in the sidebar, mount a server directory over SFTP as a workspace, then read, write and edit those files with the normal file tools. Remote watch is polled so the file tree refreshes, image/binary previews work through byte-range reads, and remote_exec, remote_search and remote_git give agents the remote shell, search and git queries. An opt-in patch routes the agent's own bash/pwsh commands to the server. Every remote write and command follows the session sandbox mode and approval policy, and hosts are managed by the plugin itself (password, key or SSH agent).

AIVN's stage engine inside DeepSeek Harness: a workspace is a play, the playwright preset writes Stage DSL, and a Stage tab in the conversation renders it live (backgrounds, sprites, dialog, stop-point choices, line-by-line TTS). dsh-aivn：把 AIVN 的舞台引擎装进 D

The 7-7-7 execution loop for DeepSeek Harness — plan, run, capture, close, compound, with a human gate.

Agent preset with adaptive tool presentation and environment-aware shell routing. Ports modules from yjh051108/dsh-routing-suite and xiaobright/dsh-anchored-standard (the former is listed here), so do not enable it alongside those presets. Requires DSH 0.2.2 or later; high uses PTC with on-demand tool unlocks and max uses PTC with the full available tool catalog.

Lets an AI play Slay the Spire 2: screenshot plus mouse/keyboard tools, a local card lookup, and a readable play log. Requires Windows and Python 3.10 or newer with Pillow.

Cross-session memory for DSH: export every session to readable Markdown transcripts, keep one long-term MEMORY.md, and get a wake-up summary in a fresh window.

Checks each claim in a finished answer against the tool output that same turn read: a contradiction whose quote is found in that output steers one correction in the same turn, and claims the output does not back are flagged in the session log and on stderr. A free scan for absolute words and unmatched numbers runs first, and a turn that ran no tool never reaches the model.