Bryan-cmf/dsh-vector-memory ↗★ 0
@bryan-cmf/dsh-vector-memory
DSH-Plugin: durable agent memory core — mem_save / mem_search / mem_health tools backed by the DSH storageDomain (durable, survives restarts), plus a 記憶 view tab.
安装
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-vector-memory说明文档
阅读完整 README ↗🧠 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 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 |
|---|