mervyn-teo/dsh-plugin-rag

README 摘要

dsh-plugin-rag Semantic memory (RAG) over all your DeepSeek Harness chat sessions — automatic, self-contained, and non-destructive. Install · How it works · Settings · The rag search tool · Uninstall What it does dsh-plugin-rag turns every conversation you have with the harness into a searchable memory. As you chat, the plugin increments the index with each new message and decrements it when compaction/pruning shadows old content, so retrieval always reflects the current surface of your sessions — never a stale dump. - ✅ Automatic — no rebuild schedule, no manual export. It listens to the session store and stays in sync as you work. - ✅ Self-contained — embeddings come from any OpenAI-compatible /embeddings endpoint; vectors live in one local JSON file . No native modules, no database, no extra service. - ✅ Non-destructive — it listens to published session events. It never patches the agent loop, and uninstalling restores the harness to its exact original state. - ✅ Model-agnostic — choose a built-in preset or plug in your own endpoint, model, and API key. Install A DSH plugin is a plain npm/Cordis package. Install it exactly like the terminal or qr-connect plugins: add it to your …

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