Plugin

Un plugin web dsh che avvolge l'Harness in esecuzione in una finestra desktop nativa Windows: include un client desktop Wails v3 (basta quindi installare il plugin), sonda la porta web e scrive il file di protocollo ~/.dsh/dsh-web-port.json per il client, registra un'icona nella tray, scorciatoie sul desktop e nel menu Start e un interruttore di avvio automatico; il client può avviare dsh da sé se non è in esecuzione.

Server MCP che cerca nel Roblox DevForum e nella documentazione ufficiale per creator, così che gli agenti di codifica IA possano eseguire il debug di giochi Roblox basandosi su conoscenze reali della community e del motore.

Selettore di contesto UI del desktop Windows per Codex, DeepSeek Harness e client MCP: seleziona finestre, elementi UI o regioni dello schermo con evidenziazione al passaggio del mouse, UI Automation, screenshot e OCR locale, poi rivedi e approva il contesto Markdown/JSON prima dell'output.

Collega Multica a DeepSeek Harness tramite un protocollo di processo JSONL versionato.

Migra conversazioni, MCP, memorie e file di progetto di Codex CLI in sessioni, aree di lavoro e registrazioni MCP di DSH.

Plugin di imposizione del protocollo memoria: collega il server MCP opencode-memory, forza memory_weave prima delle chiamate agli strumenti, acquisisce automaticamente i turni e inietta il contesto della memoria nei passaggi dell’agente.

Espone le capacità dell'agente DeepSeek Harness come server MCP, così un client MCP esterno (ad es. Hermes) può guidare Harness nell'esecuzione di task di programmazione. Hermes = cervello, Harness = braccia

DeepSeek Harness 的 MCP 服务与 Skills 管理器：面板里增删改 MCP 行、扫描导入其他 Agent 配置、管理 Skills。Web 与 Desktop profile 通用。

Generic Companion-protocol bridge from DeepSeek Harness to phones/IoT/legacy agents (includes Termux companion example).

Fronts stdio MCP servers with three router tools (list_capabilities, describe_tool, call_tool) so schemas load on demand instead of riding every request; shapes every tool result through a deterministic output ladder that archives the original first (retrieve_spill reads it back); prices tool groups in tokens and can hide built-in groups per agent. Bridges to a standard-library Python router, so Python 3.9+ is required.

Mounts the mcptoon MCP gateway as one stdio server, so the agent discovers the tools of every MCP server you have configured through mcptoon's compressed view instead of full JSON schemas on each turn. Ships a doctor CLI that checks the mcptoon executable resolves and prints the exact command/args override when it does not.

Compaction fallback for compaction-basic: when its LLM summary throws, comes back empty or cannot fit the window, the span is compiled deterministically with a seq pointer on every line (vendored dsh-compaction-instant compiler). Adds recall and search tools, /recall and /context commands, an idle trigger at 45% of the window and an on-disk span archive. The engine mounts as one row in the agent preset (docs/dsh-integration.md).

Pool AI provider accounts per platform and route them through a local loopback proxy that bridges the OpenAI, OpenAI-Responses, Anthropic and Gemini protocols, then write the proxy into Codex, Claude Code, Gemini CLI, Grok, OpenCode, OpenClaw and Hermes config files with snapshot-and-rollback safe writes; registers no agent tools.

Built-in browser control for dsh (DeepSeek Harness): lets the AI agent open pages, read content, click, type, scroll and take screenshots in a real local browser (Edge/Chrome via the Chrome DevTools Protocol). Includes a docked live browser pane (CDP scre

One MCP tool instead of every schema you own — a lazy capability broker that cuts resident tool context by a measured 94.4%. Search, inspect, enable and call MCP servers and skills on demand.

Call a new-api (one-api style) relay station's video model from the conversation with @-referenced image/video materials, supporting Seedance 2.0 and Happyhorse text-to-video and image-to-video across four relay protocols.

Chrome DevTools Protocol Plugin for DeepSeek Harness. Use chrome-remote-interface to connect to and control Chrome via CDP. The connection includes a graphical interface.

Routes the harness through the OpenLLM gateway: a pure-config Cordis patch that adds an `openllm` provider to the in-box pi-ai adapter pointed at the local daemon (`127.0.0.1:8787/v1`, no API key held by dsh) and registers the `openllm mcp` stdio server (openllm, claude-context, supermemory tool groups).

Data-provider MCP server for football: results, stats, odds, standings, form and head-to-head for 18 European leagues (1993-94 →) and 8 cup competitions, for any MCP client. Also a DeepSeek Harness (dsh) plugin.

Native DeepSeek Harness plugin for IsingQ: guided QUBO modeling and validation on-device, then user-confirmed remote solving.

DeepSeek Harness plugin for NI Multisim circuit generation, simulation, optimization, and lab reports via MCP

Single-model disable gate: hides denied models from DSH catalogs, blocks direct dispatch with an in-protocol error chunk, and exposes a settings UI for the denylist.

Exposes the DSH dynamic-Cordis toolset to Claude Code over MCP (streamable HTTP on the existing web port, no new listener): ten tools to list, inspect, define, run, stop and permanently remove dynamic plugins in a live DSH session, with the same approval flow the GUI uses for packages that ship a client half. Bearer auth is mandatory — the token is configured on a DSH settings page, the endpoint answers 503 rather than serve without one, accepts loopback only and never emits CORS headers.

Memory Standard Protocol (mm) for DeepSeek Harness: layered MEMORY.md with hard budgets, frozen snapshots, mm:// URI interop, session-log digestion, mem_* tools and a standalone CLI.