Memory

deepseek-harness-forge-plugins#forge-memory

jinguanghai/deepseek-harness-forge-plugins/plugins/forge-memory · ★ 2

jinguanghai

BM25 keyword-based memory recall.

Repository Source

License: MIT
Added: 2026-08-14
Maintenance: active
Install kind: github

Manifest status: Declared
Manifest path: package.json#dsh
Manifest checked: 2026-08-19
Lifecycle scripts: None found

Static manifest checks report declarations only; they are not compatibility or security review.

安装

dsh plugin --profile web add github:jinguanghai/deepseek-harness-forge-plugins#path:/plugins/forge-memory

GitHub 源码安装：首次需按提示配置 allowBuilds 构建授权后重试

For install and environment setup, plus plugin development tutorials, see DSH community docs ↗

README

Source README · body: en · Read Chinese README

BM25 experience recall for DeepSeek Harness — the 铸剑炉 (Forge) memory discipline as a plugin: keep the context short, pull in only what is relevant.

Tool	Purpose
`memory_recall`	BM25-ranked recall of past key findings (top-K, fresh-window aware)
`memory_save`	Atomic save of a key finding (tmp + rename, keeps `.bak`)
`memory_fold`	Fold a long section into a short index entry
`memory_fold_deep`	Deep-read a folded section back to full content

Data lives in memory.json / .forge-temp/memory_current.json / data/memory_current.json — bring your own memory file (empty templates in data/). No npm dependencies.

README

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