dsh-argp

DeepSeek Harness Sessions & Messages Low risk

Deterministic context compaction: prunes conversation atoms in reference-graph topological order with no LLM calls during compaction, and keeps pruned atoms recallable by marker.

确定性上下文压缩：按引用图拓扑序摘除对话原子，压缩阶段不调用 LLM；被摘除的原子保留 marker，可按需回拉。

How to install

DeepSeek Harness dsh plugin add github:yoza10635/dsh-argp

About

English | 中文 dsh-argp — 基于逻辑链的原子引用图剪枝式上下文压缩引擎 dsh-argp（ARGP = **A**tomic **R**eference **G**raph **P**runing，原子引用图剪枝）是 DeepSeek Harness（dsh）的第三方 CompactionEngine：**基于逻辑链（引用依赖拓扑）的原子级选择性遗忘**——历史中"被依赖"的内容按引用图保留，"孤立"内容按反向拓扑序摘除，压缩阶段零 LLM 调用，不把历史重写为摘要。 **压缩阶段 0 次 LLM 调用**——纯图规则，确定性、可收敛 **基于逻辑链决策**——剪枝依据是引用依赖拓扑（"谁被依赖"），不是新旧位置或模型偏好 **选择性遗忘而非重写**——被剪内容留在 append-only 会话日志，可通过内置 recall_pruned / recall 工具取回 **引擎无关的接缝**——通过标准 CompactionEngine 接口挂载，作为 compaction-basic 的替代后端 **压缩率精确兑现**——实测 200K 上下文 → 160K 触发 → 32K 保留，输出大小可控状态：研究/验证阶段。全链路（挂载 → 剪枝 → recall，事务不变式）已在 dsh 0.1.0-rc.6 + DeepSeek v4-flash 上完成 50 轮…

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Recommendation signals

47 Tool quality · Based on stars, downloads, maintenance, security and docs

– User interest · Adjusted by in-site views, install copies and download clicks

47 Overall

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Basic safety check

Findings: curated 收录但无 npm 包/安装命令
Sources: curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin
Topics: agent, compaction, context-compression, cordis, deepseek-harness, dsh, dsh-plugin, llm

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