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dsh-file-memory

DeepSeek Harness Memory Low risk

File-backed working memory: memorize/recall key premises verbatim in a session notes file so they survive context compaction losslessly.

文件型工作记忆:memorize/recall 把关键前提逐字保存在会话笔记文件,无损挺过上下文压缩。

How to install

DeepSeek Harness dsh plugin add dsh-file-memory

About

@deepseek-ai/dsh-file-memory 中文 | English File-backed working memory for long tasks. Two model-facing tools — memorize and recall — keep key premises as **verbatim bytes** in a session-scoped notes file inside the workspace, so they survive context compaction losslessly: a summarizer can blur or drop a fact, but a file round-trips it byte-exact. Why Compaction checkpoints are LLM-generated and LLM-rewritten generation after generation; the prompt-space "state document" proposals still re-summarize the previous state every pass. Files are the only lossless medium the agent already has: write on…

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Meta

License
MIT
Language
TypeScript
GitHub stars
0
mo. downloads
745
Last push
2026-08-14
Created
2026-08-14

Links

Basic safety check

Findings
None
Sources
curated:awesome-dsh-plugin.com, curated:awesome-dsh-plugin/awesome-dsh-plugin

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