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Four practical limits of dsh-auto-memory 1.3.0

AI summary

In a three-week field test of dsh-auto-memory 1.3.0, the author found that automatic summarization is off by default, injected memories are truncated at a byte-budget limit, and unverified candidate records can still be injected. The review also reports weak performance on long-document retrieval. The author considers the tool best suited to manually maintained, single-machine, project-level memory.

In-depth insight

The review identifies configuration, truncation and verification requirements that can determine whether the tool fits a user's workflow. It also distinguishes the tool's stated strength in project-level memory from its reported weakness in long-document retrieval and cross-machine sharing.

我踩过的四个记忆坑,从预算到换机

我给自己的 agent 装持久记忆,动机很朴素:同一个项目反复讲背景太费劲。装上 dsh-auto-memory 之后,前三周我踩了四个坑,每一个都不是「装不上」,而是「装了但没按我以为的方式工作」。下面按我踩到的顺序写,不讲教科书分类。

先说它现在长什么样

我实测的版本是 1.3.0(npm 2026-10-29 发布),仓库 122 星(GitHub API,2026-11-05 现查),站内给的是已验证 · L5 运行时冒烟。装完的记忆存在 $DSH_HOME/memory/:一条记忆一个 Markdown 文件,加一个 MEMORY.md 索引,写进系统提示词的是索引而不是全文。

我最开始以为这是「装完就自动记住」的东西。不是。

坑一:以为它会自己记

第一周我聊了三个晚上,第二天开新会话问它「我上次说过什么」,它一脸茫然。翻 README 才看到 autoSummarize 默认 false——不开这个开关,它只在两种情况下写盘:我明确说「记住」,或者模型主动调 memory_write。

#dsh-auto-memory#DeepSeek Harness

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