Plugins

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models.

AST-based context compression, test log filtering, and token budget guard for DeepSeek Harness: strips redundant syntax, prunes noisy log lines, and enforces a token ceiling so the context window never overflows.

Forgetting-curve in-place dialogue compression for DeepSeek Harness: recent turns stay verbatim, middle turns are structurally dehydrated (zero-LLM), ancient turns fold into a bounded summary pair — unbounded conversations on a bounded memory budget.

人脑式上下文压缩逻辑，大幅减少长任务上下文占用以及token消耗

Compresses DSH time-context from ~280 chars to 46 chars by injecting a compact date line into the runtime-context snapshot; zero runtime dependencies.

Terse prose for DeepSeek Harness — compress the agent's own output so every reply costs fewer tokens (layer 4). Style, never substance.

Shows real-time token and cost savings from the Headroom compression proxy in the DSH web UI: a Settings dashboard plus a persistent stats line under the composer.

Auto-switches the agent to ultra-compressed caveman-style output during DeepSeek peak-pricing hours (Beijing 09:00–12:00 / 14:00–18:00, price x2) and shows a status badge plus transition toasts.

Deterministic, zero-LLM, byte-budget context compaction for DeepSeek Harness, with byte-exact recall of compacted history.

Windowed, reversible context management for DeepSeek Harness; replaces Basic compaction.

Bitmap-frame context compression plugin for DeepSeek Harness: renders discarded conversation history into pixel-font PNG frames for vision-capable models.

Context compression for small-context models: visually configure the compressed context budget, default to an 8k handoff + 16k recent context, and keep full history searchable.

Mounts the mcptoon MCP gateway as one stdio server, so the agent discovers the tools of every MCP server you have configured through mcptoon's compressed view instead of full JSON schemas on each turn. Ships a doctor CLI that checks the mcptoon executable resolves and prints the exact command/args override when it does not.

Embeds external AI chat sites in a DSH side panel through the same-origin reverse proxy with per-site DOM adapters, and adds a composer button that either rewrites the draft with the host model or runs a two-round loop: compress the conversation, optimize, send to the embedded site, capture the reply, then finalize it into the composer.

dsh侧边HUD面板，包含多个信息展示模块（可自定义是否展示），集成压缩上下文、查看git graph等功能。DSH side HUD panel, containing multiple information display modules (customizable whether to display), integrating features such as compressed context, viewing git graph, etc.

DSH 智能上下文压缩插件 —— 在有限窗口内管理认知资源，让 Agent 记住真正重要的信息。 Smart context compression for DSH — managing cognitive resources within limited windows, so your Agent remembers what truly matters.

Adds read-only, scriptable playback to native DSH conversations, with simulated user typing, forward and reverse playback, event stepping, speed control, idle-gap compression, and direct seeking by event, turn, or recorded time.

Browser-local audio/video toolkit for DSH — extract frames, capture thumbnails, compress images, and convert clips to GIF with FFmpeg.wasm.

Adaptive Reversible Context (ARC) for DeepSeek Harness — provider-aware, cache-conscious context governance with reversible recovery.

Persistent image or MP4 wallpaper for the DSH Web profile: a wallpaper card under Settings -> General selects a local image or MP4 (up to 300 MB), tunes surface opacity and blur, compresses video locally to H.264 when ffmpeg/ffprobe are on PATH, stores media under ~/.dsh/wallpapers, and pins the Web server to port 9191 so the saved wallpaper survives restarts.

A slim port of Headroom: compresses tool output, cuts up to 20% of context, without affecting the model's context cache or agent performance.

Context compression skill for DeepSeek Harness -- intelligent conversation summarization

Drive a local ffmpeg as six structured tools: probe a file's streams, transcode or trim it, pull evenly-spaced frames or the audio track, and compress video to a byte budget with two-pass encoding.

dsh拓展全局提示词插件