Keep cross-session long-term memory in DSH
DSH integration
Native runtime
Author-claimed
Safety audit
Unaudited
Last verified
2026-10-14
License
MIT
01What can it help you accomplish?
Keep cross-session long-term memory in DSH
See the README for the documented result.
DeepSeek Harness users
02How to install into DeepSeek Harness
Prerequisites
- 安装后无需配置即可使用（默认分库与模型缓存在 `~/.dsh/engram`，画像注入开启，自动摄取关闭）。
Installation steps
- 01
$ dsh plugin --profile web add @kenz1117/dsh-engram
Verify the integration
Not specified by the author
03DSH integration and capability boundaries
README documents DeepSeek Harness integration.
README-documented capability
04Who is it for? When not to use it?
Good for
- DeepSeek Harness users
Not for
- 嵌入模型离线运行，下载失败自动降级纯关键词并显式标记。
05Compatibility, maintenance and safety notes
- 嵌入模型离线运行，下载失败自动降级纯关键词并显式标记。
README-backed repository record
07Related DSH workflows
weknora
by tencent
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
honcho
by plastic-labs
Memory library for building stateful agents
webnovel-writer
by lingfengqaq
A long-form Chinese web-novel writing assistant for Claude Code and DeepSeek Harness, designed to reduce memory loss and hallucinations in serialized projects of up to 2 million characters.
mirage
by strukto-ai
The World's First Virtual Terminal for AI Agents
08Data and sources
DeepSeek Harness 跨会话长期记忆插件
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-10-14. Found an error? Submit a correction.
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