DSH-PLUGIN STORE / LIVE CATALOG
聚合 GitHub 上的 DSH 插件，打造 DeepSeek Harness 生态的一站式目录。
105 个项目，匹配「context」
Roarpeng
Local-first code knowledge graph and context harness for coding agents. MCP + DeepSeek Harness (dsh) plugin.
phoenixlucky
让 Agent 高效又守纪律 — 不止省 token：ZeroToken 压缩无效上下文/推理/输出；尉缭子十原则约束权限边界、单一指令、先谋后动、验证先于结束；附 Unicode 编码规范、搜索规范、六种任务模式。More than token savings: ZeroToken efficiency + AI coding discipline for Reasonix / Codex / OpenCode / Hermes
1420079678-ctrl
Gates 84.7% of tool-schema prompt tokens away for DeepSeek Harness: plugins declare themselves organs, a nerve impulse routes each command, reflex arcs fire with zero model calls, memory consolidates while idle, every failure is attributed before retry. Reproducible offline, MIT.
Rxiain
面向 DeepSeek Harness 的 OpenViking 检索、资源管理、自动召回与会话记忆插件
TsFreddie
LLM-free lossless* compaction engine for DeepSeek Harness
HorusJiang
Jev judgment, not generation: prune long tool output, screen fetched pages for injected instructions, and gate completion claims inside DeepSeek Harness.
dsh-plugins
Auxiliary models for DeepSeek Harness: vision understanding and context compression through dedicated model routes. DeepSeek Harness 辅助模型插件：为视觉理解、上下文压缩、审批审查、子代理、会话标题与图片生成提供独立的模型路由、工具与系统提示，全程不触碰主对话模型。
xinchen03
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 13 tools, DeepSeek Harness plugin.
falling-ts
Aggressive context compaction for local-first agents. Runs Qwen3.8‑27B on self‑hosted llama.cpp at low context, shrinking history so the live prompt stays small, fast, and private—delivering a big‑window experience without API cost or data egress. 面向本地的激进上下文压缩插件。自托管 llama.cpp 低上下文运行 Qwen3.8‑27B,不断收缩历史、保持常驻 prompt 小而快,兼顾隐私与大窗口体验,零 API 成本、数据不出本机。
yoza10635
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. 守卫式上下文压缩：LLM 只提议、确定性守卫裁决——逐原子缩放 + 惰性引用图剪枝（0-LLM）+ 追加式日志逐字节召回；压缩率精确兑现，历史永不销毁。
chunsi-w
DeepSeek Harness 的上下文压缩插件
everclear077
Progressive tool discovery for DeepSeek Harness — tiny stable surface, searchable catalog, real pipeline execution, context cache intact.
yindf
Context folding for DeepSeek Harness (DSH): wrap work in named tasks, fold finished spans into short summaries, recall originals on demand.
YunongDai2005
One chat for everything, no more hunting for old conversations. A DeepSeek Harness (DSH) plugin./不用再翻旧会话：所有事在一个对话框里聊，自动分到对应的那件事
Zoria-Lind
Memory ecosystem bridging the DeepSeek web app and local DSH — one local memory pool shared by a browser extension (harvest/inject), a zero-dependency local service (sole writer), and a DSH adapter (pre-step injection).
ciskonc
Claude Code-style @path imports for DeepSeek Harness: expands @imports in AGENTS.md/CLAUDE.md and injects referenced files into context at session start
hoyyang
Codex-style context window auto-management for DeepSeek Harness — lossless zero-model context rollover
Context Assembler DSH — DeepSeek Harness 上下文汇编插件：按话题块编排上下文，最大化每 token 互信息密度
lifeodyssey
DeepSeek Harness plugin: compress tool output, cut up to 20% of context, without touching the context cache or agent performance.
stas130286-blip
BrainAgent — brain-inspired plugin for DeepSeek Harness (dsh): a pipeline of heuristic filters, statistical memory stores and context injections; reward-ledger + UCB1 bandit learning loop (RL-lite). 915 tests. Free noncommercial use.
wangwei-wade
DSH 会话选区引用与锚点批注插件：选中文字 → 批注 → 引用锚点 chip（点击跳回原文、悬停显示原文）。Contextual selection & anchored annotation plugin for DeepSeek Harness.
CoaseEdge
The navigation of AI Agent.
brunhildzhou
DSH 插件：接管 DeepSeek Harness 的会话压缩，产出结构化交接摘要、可回查分段与检索工具｜A DSH plugin that takes over session compaction.
wjxn13
Headroom context-compression proxy integration for DeepSeek Harness: detect/install/start Headroom, auto-configure the DeepSeek compressed route, one-click route-switch UI. Built on headroomlabs-ai/headroom (Apache-2.0).
