Plugins

Deterministic engineering orchestration runtime for DeepSeek Harness: the orbit_controller tool and OrbitService run Commander, Executor and Smart Watchdog children through PLAN, EXECUTE, EVALUATE, bounded correction and runtime recovery, with durable state in <project>/.cx/state.json.

Automatically orchestrates complex DeepSeek Harness requests. It detects when delegation is useful, builds a dependency-aware plan, assigns bounded researcher, architect, backend, frontend, tester, and documentation workers, collects structured evidence, and sends the results to a final reviewer. The bundle atomically enables the workflow engine and model-facing subagent tools; disabling the plugin disables its complete tool group as well.

Ships a skill about handing work to subagents instead of doing it inline - which tasks are worth fanning out, how many to run at once, how to send them in parallel, and how to check what they returned instead of trusting the summary.

Agent screen capture on macOS and Windows: one tool captures the screen and returns the image itself, so the model sees it without a second call. On Windows a whole burst runs in one engine call; on macOS a resident helper drops a region capture to 13ms and a change check to 23ms. A second tool, macOS only, reports whether Screen Recording is granted and opens the settings pane that fixes it.

Controlled browser automation for DeepSeek Harness: the agent_browser tool and BrowserAutomationService drive a real Chromium or Chrome page (or an explicit CDP endpoint) through the agent-browser CLI, with allowedDomains containment and per-call output limits.

Exa-backed web search provider for the ctx.web seam, with Exa Dynamic Highlights on by default and the Exa-Beta header that setting requires; exposes all eight Exa retrieval types, adds an /exa command to change highlights, search type and result count at runtime, and registers an exa_search tool that takes its own result count.

Computer Use for macOS desktop applications: reads any app's accessibility tree as text with element indices, then clicks, types, pastes, scrolls, drags, selects text and sets values through it, plus screenshots read back as images. Driven by a persistent JavaScript REPL — the agent gets two tools (`js`, `js_reset`) and calls an `sky` API inside them, so state survives between calls and the tool schema stays fixed as capabilities grow. Accessibility trees come back as diffs after the first read; actions address elements by index and indices from a stale read are refused rather than misapplied; typing waits for keyboard focus and reads the field back; paste restores the clipboard. Requires macOS 14.4+, Accessibility permission (Screen Recording only for screenshots) and Node 20+; ships a prebuilt native module, so nothing compiles at install time.

Read-only enhancer for a file-based long-term memory library (markdown cards in git): a memory_find search tool, a small budgeted memory digest injected into the system prompt, and a settings page with library overview, health-check status and toggles.

Adds DSH restart and stop controls with token-aware reconnect and policy-based recovery for interrupted web sessions.

Gives the model a rename_session tool, so the agent can retitle a session from inside the conversation.

Adds the KnyazevAI API provider and its DeepSeek, GLM, and MiniMax model catalog to DeepSeek Harness.

An eye-friendly green skin that reskins the whole DeepSeek Harness Web UI to a low-blue-light green palette, with complete light and dark mode coverage.

Multi-provider quota panel for DeepSeek Harness: DeepSeek official balance, jojo code, SCNet and Ark Coding Plan usage windows in the sidebar footer, with 90 days of local history and trend charts.

Composer key remap for the DeepSeek Harness web UI: bind Enter, Ctrl/Cmd+Enter, Shift+Enter or any custom chord to the Send, Newline or Interrupt actions, with cross-action migration, durable persistence and native behavior preserved by default.

Manages CSS and JS snippets for the DSH web GUI, injecting enabled CSS as style elements and running enabled JS in the page, with a sidebar-footer quick toggle, its own page in the Settings navigation, and optional folder or Gist sync.

System-audio visualizer for the turn navigator rail: the rail reacts in real time to whatever the default playback device is rendering, with four motion modes (spectrum, pulse, sway, travelling wave), a 16-band logarithmic spectrum from a 2048-point FFT on the host, and live sensitivity, strength, bass-punch and wave-speed controls. Audio is captured host-side through WASAPI loopback, so there is no permission prompt, no microphone and no screen capture. The browser half adds one attribute, one stylesheet, some CSS variables and a sidebar control row, and never patches the official component; switching it off removes the attribute, the stylesheet and the variables, returning the rail to its default styling. Windows only.

Sidebar button that opens a semi-transparent popup for browsing, previewing, downloading and deleting generated images and videos, with a settings page for the media, record and download directories.

Sidebar notebook with titled notes and inline images (videos rejected); click a title to copy its body to the clipboard, reference a note in the composer with @, and optionally open the notebook for every new session.

Customize the DeepSeek Harness desktop shortcut icon: pick a preset or upload an image, auto-remove the white backdrop, build a multi-size ICO, and write the shortcut in one click.

Floating audio control panel in the Web GUI: play/pause/next/previous for Windows media sessions (SMTC) and the system master volume/mute, served by a Node route half that runs a PowerShell helper.

Chat agent for a DeepSeek Harness session: create characters and write their personas, keep several archive threads per character, undo or rewind the locally stored transcript, and record story beats in an event book.

Flip the DSH page over to a glass task board showing live jobs, subagents and session state, with an infinite canvas that unrolls a card into draggable controls, embedded web-app frames, and a conversation box that edits the canvas.

Large-image recognition for vision-exp models: lossless 800×800 tile recognition (smart/pipeline/full), local OCR with preprocessing & handwriting routing, optional multi-vendor GPU (DirectML/CUDA/OpenVINO) with auto CPU fallback.