Plugins

Dispatch work to DSH agents from Claude Code or Codex: native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge for vision and image generation.

Terminal workspace for DeepSeek Harness with local VS Code JSON/JSONC theme import, inherited terminal background effects, mouse text selection, structured tool and diff views, Session/Profile/plugin management, and Skill/MCP browsers.

Proactive associative memory for DSH: zero-prompt recall injected at a fixed boundary, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers and a PLAN whiteboard that survive context-window switches, water-level sensing with an auto-detected model window. Local Markdown storage, model-agnostic, zero deps; lexical 0GB floor with optional semantic tiers.

Multi-provider usage dashboard with provider/model token breakdowns, calendar drill-downs, account balances, and OpenCode Go / Z.ai subscription quota tracking.

Let Claude Code or Codex do the thinking: understand the request, write a clear prompt for DeepSeek Harness to do the work, and review the result. dsh-baton runs your tests itself, lists what changed, and has a sub-agent check every requirement, so your main model only reads the result and decides. Codex waits in one call of up to 59 minutes, with no hook to trust and nothing to poll; you can change the request while it runs, and name the Harness model for a task. On big jobs it saves most of your plan's quota.

Skills and optional MCP rows for eleven marketplaces: price comparison across Wildberries, Detsky Mir and Yandex Market, plus per-source search, product cards and reviews, including Ozon, Avito and AliExpress. The 14 skills load on install; both MCP rows stay disabled until RU_MARKETPLACE_MCP_DIR points at a local clone, which needs Python 3.12+ and uv.

3D Gaussian Splatting / NeRF / computer-graphics research skills — 18 AI skills (paper reader, method compare, experiment planner, code reviewer, training debugger, visualizer, MCP renderer…) over a curated 1011-method catalog, plus a stdio MCP server for agent-driven 3DGS rendering.

Makes 1080x1920 vertical promo videos from a storyboard JSON with 7 tools (doctor, setup, catalog, guide, validate, render, verify), rendered locally with Remotion.

OpenPencil design preview and editing plugin.

Drive a local or remote ComfyUI server from DeepSeek Harness: comfyui_run / comfyui_object_info / comfyui_workflow tools generate and edit images and videos, with a workflow library (graph extraction: per component / main flow / all), a load area with resolution auto-match, a live queue, SDXL and Wan 2.1 templates, a companion skill, and a same-origin media proxy.

Study workspace for DeepSeek Harness: imports your own PDF, DOCX, PPTX and Markdown materials plus lecture recordings, turns them into source-cited flashcards, quizzes and open questions, and schedules spaced review with FSRS-6 in a built-in web panel. Imported recordings are transcribed with your own SiliconFlow, Groq or Gemini key; live classes can instead use an on-device SenseVoice engine that needs no key (about 239 MB on first install); requires DSH 0.2.0-rc.2 or later but below 0.3.

Local Git-backed long-term memory for DeepSeek Harness with hybrid CJK/English retrieval, cited context, transactional sync, previews, and rollback.

Lets the AI insert streaming-generated UI into the conversation or a side panel, written in TSX — already one of the model's native languages, so there is no JSON schema to teach it. Rendered without flicker, state kept across frames with no hard remount, and a click in the card driving the next chat turn. Inline is where streaming matters most; the side Canvas is the more agentic shape. Cards get agentic capabilities of their own — run bash, curl, call the model, read and write files.

Moves an existing DSH session to another agent preset through a previewable five-section handoff, preserving the source session and either pausing the target for confirmation or continuing immediately.

Three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, smart routing, supervised agent workflows, WebUI, and headless tools.

Google Antigravity (agy CLI) models for DSH — streaming chat with Gemini/Claude/GPT-OSS subscriptions, native tool cards, thinking turns, and in-GUI Google OAuth login.

Authenticated mobile gateway for DeepSeek Harness: connects the companion native iOS client over WebSocket for sessions, live events, tasks, goals, approvals, commands, and file transfers, with QR pairing and device revocation.

Red-team engagement mode: send one target organization name; a planner session runs five execution roles (recon, asset triage, vulnerability discovery, exploitation, internal pivot) with configurable concurrency; preflight checks skills/resources; scoring uses four stages (recon, internet, boundary, internal) with server-side caps and privilege-wins dedup; findings stay in a local SQLite fact base. The persistent right-side console has nine pages and includes asset mapping, agents, sessions/tunnels, findings, score targets, reports, POC knowledge base and skill library. v0.15.2 adds automatic HTTP evidence/action records, batch ingest, scope check, tunnel pivot probe, data proof, cleanup ledger and T0-T3 asset admission to prevent scope drift. 59 redteam_* tools; 38 bundled skills.

Generates game art from reference images via Seedream image generation and MiniMax image-to-video, assembling eight-direction sprites, sequence frames, and skeleton animations with local green-screen keying.

Adds a Managed Agents settings tab and MCP tools to dispatch long-running agent tasks to Ark cloud Managed Agents.

Registers Ark Agent Plan, Coding Plan and postpaid model routes in the native DSH model picker.

Bounded, layered, approval-gated, auditable cross-session memory: a typed `ctx.memory` seam with a zero-dependency SQLite provider, a `memory` tool, and frozen snapshot injection, plus the dsh-memory-protocol v1 rehearsal with an adapter registry and a distributable conformance suite.

🌌 Mebular · shared memory and task collaboration for agents. Through a DSH-native plugin, it provides cross-device, cross-agent memory sharing and task-graph capabilities — so physical devices are no longer the boundary of your agents. Secure, controllable, and decentralized! The plugin attaches to an existing Mebular app or CLI runtime; when none exists, the panel installs the shared runtime on demand, and it never starts or downloads Mebular silently.