Plugin directory / Knowledge / dsh-vector-memory
dsh-vector-memory
Verified · install-tested on dsh Bryan-cmf
What it does
DSH-Plugin: durable agent memory core - mem_save/mem_search/mem_health backed by storageDomain (survives restarts), 記憶 view tab.
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。
A DeepSeek Harness plugin
that gives your agents durable, cross-session memory — the samemem_save / mem_search contract as the originalBryan-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
vectorMemoryservice — it must live in the
host composition (process-global). If you mount it from an agent preset
instead, wrap it in a group with anisolaterealm (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 shippeddsh-basebundle)
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
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.