Plugins

An AI-native browser workspace for DeepSeek Harness (DSH), combining multi-tab browsing, live page annotations, lightweight code editing, workspace previews, and Agent-assisted iteration across Web and Desktop.

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.

Open and drive every dsh on your tailnet from any dsh, with a complete phone layout.

An AI-native multimodal canvas for DSH: preview images, video, audio, 3D models, PDFs, documents, and code; connect ideas and collaborate with agents in a persistent local workspace.

AI-native music player plugin for DeepSeek Harness: aggregates NetEase Cloud Music, QQ Music and KuGou search with cross-provider playback fallback, renders word-by-word karaoke lyrics synced live over USB HID to HALO PIXELBAR speakers, and exposes search, playback, queue, alarm and speaker control as model tools.

AI-native text editor for DeepSeek Harness: tabs, encoding-safe saves, selection/document AI with diff review, Markdown preview, and Windows file associations.

AI-native iteration cycle: 24 anic_* tools and 77 HTTP routes that run evaluation, convergence gates, and auto-fix loops across projects, with a live white-box panel (interactive workflow graph, invocation feed, autonomy gauge, gate ledger, HITL queue) and an inline installable SKILL.md workflow kit.

AI-native SDLC as a DeepSeek Harness bundle: task state machine and artifact chain, independent verification with structured verdicts, per-issue rework and re-verification, test freezing, RSI retrospectives, and a read-only dashboard.

SparkElf-maintained fork of dsh-quant: AI-native & DSH-native quant toolkit — 59 tools across 6 pluggable domains (data/alpha/ML/risk/execution), one end-to-end PDAT→PET research pipeline. Fork adds A-share-correct annualization, cross-sectional IC, and u

AI-native expressions for two-way chat: people see images, while text-only models read fixed meanings; includes a picker, custom expressions, import/export, and two visual styles.