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dsh-vector-memory

Verified · install-tested on dsh Bryan-cmf

✓ Actively maintained Builds on 4 official DSH packages

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2026-08-17Last push
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What it does

DSH-Plugin: durable agent memory core - mem_save/mem_search/mem_health backed by storageDomain (survives restarts), 記憶 view tab.

✅
Our take
Works — verified, early-stage project

DSH-Plugin: durable agent memory core - mem_save/mem_search/mem_health backed by storageDomain (survives restarts), 記憶 view tab. It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

⚠️ 此套件已併入 @bryan-cmf/dsh-insights(2026-08-17)。此 repo 僅保留作合併前歷史,後續迭代請到 dsh-insights。

🧠 Vector Memory — DSH-Plugin

可持久化的 Agent 記憶核心——mem_save / mem_search / mem_health,跨 session、跨重啟,零外部依賴。

npm
License: MIT
DSH

A DeepSeek Harness plugin
that gives your agents durable, cross-session memory — the same
mem_save / mem_search contract as the original
Bryan-cmf/vector-memory MCP
server, but natively on DSH.

Why a native rewrite (and what changed)

The 2026 memory landscape made self-hosting a Qdrant + BGE-m3 stack a
commodity (Zep / Mem0 / Letta / LangMem all offer managed embeddings + graph
memory). This package keeps the agent-facing contract and drops the
infrastructure:

Aspect Old (MCP server) This plugin
Storage Qdrant (Docker) + BGE-m3 (~2GB) DSH storageDomain — durable JSON backend, zero setup
Retrieval Vector similarity v1: deterministic keyword scoring + recency; embeddings pluggable in v2
Interface MCP stdio (Claude/Cursor/…) Native tools (mem_save / mem_search / mem_health) + vectorMemory service
Persistence Manual install script Bundle row — it just works

Tools

Tool Effect
mem_save { content, tags?, ttlDays? } → durable memory, returns id
mem_search { query, limit? } → ranked hits (score, content, tags, created)
mem_health record count, expired count, domain status, TTL policy

Other plugins can inject: ['vectorMemory'] and call save / search /
health directly.

Dashboard

The client half registers a 「記憶」view tab (order 30, right of
chat / 軌跡 / 觀測) listing this session's saved/searched items live.

Install

"dsh": { "profile": { "bundles": ["@bryan-cmf/dsh-vector-memory"] } }

⚠️ This row publishes the vectorMemory service — it must live in the
host composition (process-global). If you mount it from an agent preset
instead, wrap it in a group with an isolate realm (see the DSH
composition docs).

Requirements

  • DSH >= 0.1.0-rc.6 — services: tools, storageDomain (domain layer +
    a storage backend, e.g. dsh-storage-json, are part of the shipped
    dsh-base bundle)

Configuration

Key Default Meaning
ttlDays 90 Default memory TTL; 0 = forever
maxResults 10 Default mem_search result count

Roadmap

  • v2: pluggable embedding backends (hosted embedders or Qdrant REST)
  • v2: MCP stdio dual-exit so the same store serves Claude Desktop / Cursor
  • v2: memory curation (merge/dedupe/forget jobs)

Development

pnpm install --store-dir .pnpm-store
pnpm build

License

MIT

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-vector-memory for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:Bryan-cmf/dsh-vector-memory

Headless (CLI) profile:

dsh plugin --profile headless add github:Bryan-cmf/dsh-vector-memory

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

Security: not yet scanned — our daily static scan will cover it shortly.

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