Plugins

Add six languages (繁體中文, 日本語, 한국어, Français, Deutsch, Español) to the DeepSeek Harness Web UI language options, with hand-polished per-language translations and automatic fallbacks (Simplified-to-Traditional conversion for zh-TW, English for the others) covering upstream updates and third-party plugins.

WeChat ClawBot/iLink channel plugin: QR login in DSH Web, message send/poll/status tools, background polling, and optional per-sender persistent DSH sessions that automatically reply through WeChat.

DeepSeek Harness (DSH) plugin for local-first automatic Wiki memory and native Skill generation.

Automatic context compression for DeepSeek Harness: compresses tool outputs before they reach the model and keeps every lossy compression reversible via CCR retrieval tools.

MsgRail（消息轨道） —— DeepSeek Harness 的窄消息轨道插件：在对话左侧，为每条你发送的消息显示一根细横线。悬停看预览、点击即跳转，更早消息自动加载；全量历史、实时更新、中英双语。 MsgRail is a narrow message rail for DeepSeek Harness: one thin bar on the left of the chat for each message you sent. Hover to preview, click to jump — older messages load automatically. Full history, live, bilingual.

A DeepSeek Harness web plugin: set a background image and adapt the UI's text, background, brand and border colors to the image palette automatically.Built with DeepSeek Harness

Vision for text-only dsh models: paste an image and a configured multimodal model transcribes it to text automatically — transparent twin routing, an agent-callable read-image tool, no built-in keys or relay.

Record & Replay for the dsh web GUI: (1) replay every automatically recorded session as a readable timeline, export/import shareable replay packs, re-run a recorded conversation; (2) Codex-style screen recording -> skill generation - record a computer-use

Codex-style code and file selection for DeepSeek Harness Web: workspace file tree + file viewer; selecting code or a whole file adds it to the message as context automatically

Tracks DSH's file reads, image views, and code edits in WakaTime, including exact counts of lines added and deleted by AI. Keeps activity tracking running while DSH responds, batches updates across files, and coordinates per-project reporting limits across parallel DSH processes. Automatically installs and updates wakatime-cli.

Generate AI-narrated DSH session reports (daily/weekly/monthly, any date range) and sync them to flomo (浮墨笔记) with one configurable tag (default #write/dsh) and automatic # stripping, via a web settings panel with daily reminder.

Perseus Vault memory plugin for DeepSeek Harness: automatic pre-step recall injection from a governed memory vault

Automatic secret redaction in tool results: masks API keys, tokens, JWTs, private keys and configured secrets before the model sees them.

Evidence-backed Skill self-evolution for DeepSeek Harness: redacted trajectory learning, quarantined proposals, arena validation, canary monitoring, automatic rollback.

Two-way Feishu (Lark) chat bridge for DeepSeek Harness over the official WebSocket long connection: messages route to the bound workspace's latest session and replies return automatically; bot credentials and workspace routing are configurable from the settings page.

Multi-workspace sandbox: grants file-write access to every registered workspace automatically — add a workspace, write to it immediately, no config or escalation needed.

Expert-mode agent preset for DeepSeek Harness (v0.9.2, npm dsh-expert-mode, bilingual EN/ZH): a chief coordinator plus 17 domain-expert subagents with automatic task delegation. Features: taskboard scheduler (file-system task state machine pending/ready/running/done/failed, dependency DAG, atomic claim, retry, crash recovery), quality gates (5-stage pipeline for high-risk tasks: requirement clarity, implementation, verification, independent review, integration, with 2-round rework limit), Five-Anchor constraint (review/convergence/anti-drift/collaboration-check/resource-awareness per turn), Near-distance Guidance (identity/task/output template per expert), progressive disclosure (~28% token savings), expert persistence, inter-expert file message bus (direct P2P comm, zero coordinator relay), cross review, experience pool, fast-track for simple tasks, fault recovery with auto-retry. Experts: data analyst, copywriter, legal review, product manager, frontend, UI/UX, architect, social media ops, growth hacker, quant finance, finance, backend, DevOps, database, QA, security.

Sync the installed DeepSeek Harness plugin manifest to a GitHub Gist (OAuth login, one-click export/import with automatic dependency install).

File-based cross-session memory: plain Markdown memory files with automatic retrieval injection, format-compatible with Claude Code's CLAUDE.md and memory files, so migrating is a manual file copy.

Focus board for DeepSeek Harness agents: durable, model-maintained notes in the session workspace that pin the objective, constraints, and decisions across compaction and sessions, with automatic context injection, archive on clear, and an optional web panel.

Minimal-compatible first turn for Web root sessions: starts with persistent bash and str_replace_editor, removes automatic workspace and skill context, then restores the selected preset after the first tool call or reply; includes a persistent composer toggle.

Automatically starts a fresh Web session near the context limit with the last complete turn, and adds an editable additive whale-maid persona with on-demand reload.

Automatic provider failover on rate limits or quota exhaustion: switch between providers with configurable per-provider models, a cooldown, and a permanent last-entry fallback.

Persistent local token-usage accounting for DSH Web with automatic history discovery and compact provider/model details.