dsh-compaction-instant
VCC-style instant, near-lossless deterministic compaction engine for the DeepSeek Harness — a drop-in replacement for @deepseek-ai/dsh-compaction-basic
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VCC-style instant, near-lossless deterministic compaction engine for the DeepSeek Harness — a drop-in replacement for @deepseek-ai/dsh-compaction-basic
分层 Token 优化管道 v2:输出阶梯 / 结果缓存 / 文件 diff / 工具裁剪 + MCP 懒加载 / 压缩调度 / 缓存命中率,基于 DSH 真实插件 API
Headroom-inspired automatic context compression plugin for DeepSeek Harness (dsh): compresses tool outputs before they reach the model and keeps every lossy compression reversible via CCR retrieval tools.
Context Assembler DSH V0.99 — Context Assembler plugin for DeepSeek Harness (dsh): context compaction, cache-friendly topic-block management, water-pressure topic splitting, tool trace/rewrite, handoff planning and reality recall injection.
DeepSeek Harness plugin that uses configured model providers for image analysis and context compaction.
Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log. 压缩率精确兑现,历史永不销毁。
Cut token cost without cutting model intelligence — a DeepSeek Harness (dsh) bundle plugin: structure-aware compression + TOON-style lossless encoding first + reversible spill-to-disk + real-time dashboard.
Context compression tool (context_compact): the agent writes the replacement checkpoint itself and hands it to the host compaction engine, which skips the LLM summarizer call; automatic compaction stays on the official engine.
输出 token 压缩:让 agent 用紧凑的穴居人语回复(省 ~65% 输出 token),代码/命令/错误保持字节精确;token 下沉点审计(caveman learn:safe fix/offload/habit/load-bearing 分类)。受 JuliusBrussee/caveman(86k★ MIT)启发。
Generic stateless dialogue compression that mimics human memory — forgetting-curve bounded context for LLM conversations, with a ready-to-use adapter module for DeepSeek Harness (DSH).
dsh网页端网络优化:通过缓存与压缩技术降低传输,从而大幅提升网页加载速度;同时提供网络断连指示与自动断网重连功能。非常适合追求极致性能或网络不稳定用户使用。
Live llmtrim savings dashboard inside the DeepSeek Harness (DSH) Web UI: a settings dashboard plus a rotating carousel stats strip under the composer.
Live token/cost-savings dashboard for the Headroom compression proxy inside the DeepSeek Harness (DSH) Web UI: a settings-page dashboard plus a persistent stats line under the composer. 在 DSH 内实时展示 Headroom 压节省统计:设置页仪表盘 + 输入区常驻统计行。
Adaptive Reversible Context (ARC) for DeepSeek Harness — provider-aware, cache-conscious context governance with reversible recovery.
DeepSeek Harness plugin: gzip /api responses — fixes history loading failures over slow links
Content-aware tool output compression for DeepSeek Harness.
Pure-incremental directive-driven compaction for DeepSeek Harness: /compact-directive <requirement> summarizes the session middle per your requirement, /trim-directive <requirement> trims the whole conversation per your requirement
AgentFrame compaction backend for DeepSeek Harness: semantic + physical KV compression (28.4x) replacing LLM summarization
Context compression for small-context models on the DeepSeek Harness Web GUI: one click condenses the whole conversation into a few sentences, opens a fresh session in the same workspace, and re-injects the summary as the first message so a small model keeps working with a clean, compact context.
Custom wallpaper engine for the dsh web GUI: upload an image (client-side WebP/JPEG compression), frosted-glass blur, pane opacity, and auto font-color linkage.
附件自动降级:DSH 图片准入(单边 ≤2000px / ≤3.5MB / ≤4000万像素)超限图片不再拒绝,用 sharp 自动缩小/重编码后入库,用户上传手机原图不再踩线。
DSH plugin: auto-downscale oversized images (and a portable Agent Skill). Powered by sharp. Install from GitHub — no npm publish.
把长文本渲染成图片发送来压缩 LLM 输入 token(DeepSeek 视觉模型、每图 384 token 封顶)— text-as-image token compression for DeepSeek Harness
Context compression for DeepSeek Harness: engineer-handoff-note summarization backed by dsh-compaction-basic.