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Memory — DeepSeek Harness 插件(DSH Plugin)
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dsh-memory

Memory

DeepSeek Harness 的持久化记忆系统:RRF 多通道召回、确认写入、Fernet 加密保管库、会话转录和维护工具。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:boomzikazita/dsh-memory#77afc8ca2c3fffd3a239f23477cc22c2cdf6aa58
README兼容性版本

兼容性与来源证明

Memory 以 dsh-memory 发布,当前版本为 0.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
github
Registry 更新时间
2026/8/20

版本

0.1.0stable
2026/8/20

相关插件

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最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
any
许可证
MIT
发布源
github
GitHub
★ 1
周下载
0
最近提交
2026/8/25
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Contextdsh-context用于上下文洞察和管理的 DeepSeek Harness 插件,提供上下文仪表板和上下文命令,帮助了解上下文的构成及其演变过程。Weknora@wxg-prc-cpg/dsh-weknora适用于 DeepSeek Harness (dsh) 的 WeKnora 知识检索工具:通过自有知识库进行语义搜索、文档阅读以及 RAG/代理回答。Memsearch Dsh@zilliz/memsearch-dsh适用于 DeepSeek Harness 的 MemSearch 插件:在多个代理之间共享 Markdown 记忆,支持捕获、步骤前上下文注入、记忆召回技能和技能候选审核面板。Memory@furongjun1999/dsh-memory灵枢(Lingshu·líng shū)DeepSeek Harness 插件:完整大脑——长期记忆/知识飞轮/自我认知/递归反思接入 DSH,对话自动沉淀进 md_cg 认知图(md 文档)

README

dsh-memory

Persistent memory system for DeepSeek Harness (dsh). Provides multi-channel recall, confirmed writes, an encrypted secrets vault, session transcription, and maintenance tooling as a dsh plugin.

记忆系统插件:RRF 多路召回 / 确认制写入 / Fernet 加密库 / 会话转录 / 维护工具。

Features

  • RRF 五路召回 (five-way RRF recall) — fuse evidence from L1 rules (MEMORY.md / USER.md), L2 session FTS5, L3 semantic (optional Honcho/MCP), L4 wiki, and L5 time-window sources into a single ranked evidence ledger with per-item trust labels.
  • 确认制写入 (confirm-before-write) — nothing mutates your memory directly: memory_suggest enqueues a proposal, memory_confirm / memory_reject decide it. Budget checks, sensitive-pattern scanning, and automatic trigger: tags guard what lands in L1.
  • Fernet 加密库 (encrypted vault) — secrets live in a Fernet-authenticated encrypted store (VAULT.md.enc); plaintext appears only as → vault:<ref> references.
  • 会话转录 (session transcription) — incrementally indexes dsh session logs into an FTS5 store and extracts correction signals for skill distillation.
  • 维护工具 (maintenance) — health checks, git backups, hit auditing, and an asset de-duplication checker.

Tools

ToolDescription
memory_recallFive-way RRF recall with source labels and trust levels; date= for time-window queries, deep=true for deeper recall
memory_graphEntity graph walk (curated relation edges + automatic co-occurrence edges)
memory_suggestEnqueue a memory write proposal (track: memory / user / skill; lifecycle: rule / stable / situational / record)
memory_confirmAccept a pending proposal into MEMORY.md / USER.md / skill
memory_rejectReject a pending proposal
memory_vault_getRead an encrypted vault entry
memory_vault_setWrite an encrypted vault entry
memory_harvestTranscribe dsh session logs into the L2 FTS5 index and extract correction signals
memory_healthOne-line-per-layer health report (L1 budgets, vault decryptability, L2 index, graph freshness, pending queue)
memory_backupGit commit + push of the memory directory
memory_notifyPush a message to a Feishu/Lark chat (requires credentials, see below)
check_assetsDe-duplication check before creating new scripts/skills/plugins/automations

Installation

dsh plugin --profile web add github:boomzikazita/dsh-memory

The plugin registers its tools and hooks (primer recall injection, write guard, turn-end transcription) automatically. Python scripts under scripts/ are executed on demand by the Node host.

Configuration

The bundle patch (cordis.patch.yml) mounts the plugin with defaults; override per profile, e.g.:

- insert:
    - id: dsh-memory
      name: 'dsh-memory'
      config:
        memoryDir: '~/.dsh/memories'
        # scriptsDir: '~/.dsh/plugins/dsh-memory/scripts'
        # wikiRoot:  '~/wiki'            # env DSH_WIKI_ROOT also works
        # guardBlock: false
        # primerBudget: 800
        # primerTopK: 3

Key paths (all overridable):

SettingDefaultNotes
memoryDir~/.dsh/memoriesL1 files, FTS5 indexes, vault, outbox
scriptsDirplugin scripts/ dirPython helper scripts
wikiRoot / DSH_WIKI_ROOT~/wikiObsidian/wiki root used by the L4 channel (raw/, _meta/, entities/ live under it)

Dependencies

  • Node side: @deepseek-ai/dsh-tools and @deepseek-ai/dsh-llm (declared as peer dependencies, >=0.1.0-rc.6).
  • Python side (optional, for recall/graph/vault/harvest features): Python 3 with the standard library; SQLite 3. The vault additionally requires cryptography (Fernet). If Python is missing, tools degrade gracefully with an error message.
  • Feishu/Lark push (memory_notify / scripts/feishu_push.py): set LARK_APP_ID / LARK_APP_SECRET (env or ~/.env) and optionally LARK_DEFAULT_CHAT for the default chat target.
  • L3 semantic recall (optional): set DSH_HONCHO_MCP_URL / DSH_HONCHO_MCP_TOKEN to an MCP endpoint exposing honcho_search. Unset → L3 silently skipped.

License

MIT — see LICENSE. Copyright (c) 2026 boomzikazita.