Plugins

Reuses the CodeBuddy CLI sign-in to bring its models into DeepSeek Harness, with a settings card showing account, token expiry, and remaining credit.

Experience memory and reflection for DSH agents: automatically extracts candidate lessons after tasks and recalls user-reviewed lessons in relevant later tasks. Supports source provenance, project-scoped retrieval, conflict handling, usage feedback and expiry review; capture and recall have separate controls, and writing lessons to AGENTS.md requires preview and explicit application. A step-by-step first-run guide (4 steps) now opens inside its settings panel.

Live token stats under the DSH Web composer: streamed tokens/s, output token and first-byte latency, plus per-step estimate-vs-actual reconciliation using the official BPE tokenizer, to tell a slow stream from a stalled one.

Seven agent-preset modes for DeepSeek Harness, each with a fixed tool boundary, per-mode model routing and fast/deep omd_task delegation tiers, plus a plan-to-execute loop (/mode, /start-work, goal-backed /ulw) and a settings page that remaps models per mode and per tier.

Records every agent write, edit and shell `rm` into a shadow git repository, then reviews them hunk by hunk in VS Code — accept or revert each one. Needs the companion dsh-review-vscode extension; the panel only appears inside VS Code's webview.

Local code intelligence for DSH: Impact X-Ray visualizes potential change impact with inspectable source evidence and uncertainty; also provides symbol navigation, bounded Context Packs and ArkTS support.

Forces context compression when running low-context llama.cpp models such as Qwen3.8-27B, improving model efficiency and usage smoothness, together with well-refined compaction prompts.

UI harmonizer for DeepSeek Harness: normalizes unfinished or self-contradictory official UI, reconciles style conflicts between installed plugins, and unifies the visual language via official design tokens — with live-customizable chat width, markdown font size, workspace scale, UI font stack and a rounded center-column card from Settings → General; client-only dsh bundle, zero model cost, no host side, removable without residue.

Enterprise AI resource platform as a 22-plugin cordis bundle: org/account/role IAM, OIDC provider and App SSO, MCP server management with the platform itself exposed as an MCP server, NAS asset storage, skill hub, agent and app registries, SaaS connector management, enterprise portal data channel, department agent workbench panel, DingTalk group bridging for message and approval push, one-click remote dsh enrollment with tool proxying, usage metering, wallet billing, model gateway, audit with alerts, self-update, and a reviewed third-party plugin marketplace — 70+ ops tools become callable by the dsh agent.

VSCode-style workbench shell for the DSH Web UI: activity bar, side bar, editor area, panel and status bar, with a registry service (ctx.workbench) for mounting panels, views and commands.

Content-aware tool-result reducer: 13 reducers cut oversized output by meaning at tools/post-execute (failing tests kept, diff context dropped, JSON and CSV sampled, lint problems grouped by rule, dependency stack frames collapsed, crowded directories counted), with full originals spilled to disk behind a locator.

Cordis plugin: image/video backgrounds for DeepSeek Harness web.

Installs the browser4-cli runtime and registers the Browser4 skills (browser4-cli, browser4-experience, browser4-plugin, scent-miner) into the DSH skill registry, providing an AI-native browser engine for autonomous agents, intelligent extraction, and large-scale web automation.

Per-plugin usage budgets and cost caps on the llm/stream waterfall: per-model usage accounting, session and monthly budgets with warn/block transitions, latency windows, and a carbon-footprint estimate.

AI-assisted Minecraft for DeepSeek Harness: drive an autonomous Mineflayer agent (survival, mining, chat, live map) with vision/control tools, plus a built-in launcher (Microsoft sign-in, version download, game launch).

An ikun (basketball meme) pet that fills the dock under the "Deep diving..." status row during replies: a sprite-sheet pet walks a 0→100% progress bar, switching animation and text every 20%, and plays a system-level "nǐ gàn ma~" voice cue at completion.

Plugin marketplace in Settings that targets any local profile, not just the running one: install, update and remove across web, headless and other profiles, with install-script warnings, an installed view that also covers non-catalog profile dependencies, and an automatic DSH restart when the current profile changes.

Watches DSH and plugin releases, retests exact published artifacts in disposable runners, publishes machine-readable compatibility evidence, and reconciles managed issues after fixes.

Ten video tools (probe/cut/concat/encode/subtitle/extract/gif/frames/adjust/health) on the official subprocess service: probe summaries, batch frame extraction, speed/volume/mute/rotate adjust, shell-free argv, zero runtime dependencies.

Faithful port of the hermes-agent MEMORY.md / USER.md mechanism for DSH: bounded dual-bank memory (2200/1375 chars), a single `memory` tool (add/replace/remove/batch), frozen-snapshot injection per session, nudge reminders, DSH-native JSON storage — zero external dependencies, zero LLM cost.

Delete sessions with a 5-second undo and a recycle bin, plus an archive view to browse and unarchive, for the DSH Web GUI. Ships on npm as `@wsxwj123/dsh-session-manager`.

IKUN fandom skin for the DSH Web UI: star-blue and black-gold palettes in the system theme list, full-screen photo wallpaper rotation, a music box, and a send-button voice line.

Web UI polish layer for DeepSeek Harness: normalizes unfinished or self-contradictory official UI, reconciles style conflicts between installed plugins, and unifies the visual language via official design tokens; live-customizable chat width, markdown font size, workspace scale and UI font stack.

Progressive-disclosure MCP gateway that searches large remote catalogs through `mcp_search`, then invokes exact schemas through `mcp_call` with lazy connections and bounded caches.