guobinmengxiang-rgb/dsh-memory-canvas

README excerpt

dsh-memory-canvas DeepSeek Harness plugin. Offload bulky tool logs to refs/ .md . Keep a Mermaid canvas in context. Recall by node id . Zero daemon. CAUTION: don't pip the wrong dsh. Official CLI: npx @deepseek-ai/dsh web . The PyPI package deepseek-harness-cli is a different tool ( dsh doctor / dsh chat ). GitHub topic: dsh-plugin . Chinese: README.zh.md Demo (no dsh) node demo.mjs Writes .dsh-memory/refs/{id}.md , prints the canvas, recalls by id, and asserts the body matches. Install into a profile This package is plain JavaScript. There is no prepare or build step, so a git install does not need allowBuilds. dsh plugin --profile web add github:guobinmengxiang-rgb/dsh-memory-canvas Check the composed layer without booting: dsh --profile web --dump-config You should see a dsh-memory-canvas layer. Then start the profile as usual. Official CLI is @deepseek-ai/dsh (today 0.1.0-rc.6 ). Tools The agent must call these tools. This plugin does not auto-intercept tool logs. Tool Params Result memory offload title , body (required) short id , path, canvas updated memory recall id (required) stored body (truncated at 8k with a note) memory canvas none Mermaid markdown of the task canvas St…

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