mosaic-memory-compress

DeepSeek Harness Memory Low risk

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.

为 DeepSeek Harness 提供基于自然遗忘曲线的就地对话压缩：近期对话逐字保留、中期结构化脱水（零 LLM 成本）、久远对话折叠为有界摘要对——有限记忆预算上的无限对话。

How to install

DeepSeek Harness dsh plugin add github:TuringCorp-net/mosaic-memory-compress

About

MosaicMemoryCompress **A generic, pluggable stateless dialogue compression algorithm** — works with any LLM agent framework, and ships a ready-to-use adapter module for **DeepSeek Harness (DSH)**. LLM conversations grow linearly. MosaicMemoryCompress keeps them bounded — automatically, invisibly, and without the user ever knowing what a "Session" is. How It Works Your message array (R rounds, oldest → newest): Round 1 ────→ Round (R-30) │ Heavy zone → ALL → 2 msgs Round (R-29) → Round (R-10) │ Light zone → structural truncation, count unchanged Round (R-9) ────→ Round R │ Raw zone → keep as-is…

GitHub ↗

Recommendation signals

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

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Links

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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-memory, ai-agents, context-compression, context-management, context-window, conversation, deepseek, deepseek-harness, deepseek-harness-plugin, developer-tools, dialogue-compression, dsh-memory, dsh-plugin, forgetting-curve, llm, memory-management, session-management, token-efficiency, typescript

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