dsh-brain-viewer
DeepSeek Harness 的 AI 大脑查看器：在左侧边栏显示大脑形状的关系图，并提供 Markdown 知识库流程（导入 -> 编译 -> 图谱）。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:vamyane/dsh-brain-viewer#9e77cd45a7dd9ad5ba1c732df5b16e91a77b2892Brain Viewer 以 dsh-brain-viewer 发布，当前版本为 0.3.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
An AI brain viewer for DeepSeek Harness: a brain-shaped relationship graph that opens from the left sidebar, plus a Markdown knowledge-base pipeline that turns a folder of notes into that graph.
🧠 AI Brain button at the bottom of the sidebar opens a
full-screen relationship graph.brain/ ships the full Markdown pipeline:
scan a workspace (md / docx / xlsx) → split documents into memory units →
write Obsidian-compatible [[wiki-link]] notes → compile the graph.dsh plugin --profile desktop add dsh-brain-viewer
Then fully quit and reopen DSH. The 🧠 AI Brain button appears at the bottom of the
left sidebar.
Requirements: Node.js 20+ and Python 3.8+ (only for rebuilding; the viewer itself has no Python dependency).
# inside the installed package, or from a local checkout
node tools/rebuild.mjs --workspace "D:/my-notes" # scan your own folder
node tools/rebuild.mjs --demo # restore the demo brain
# data lands in brain/graph.json — reopen the panel, no page refresh needed
The pipeline writes memory notes to brain/vault/ and generates brain/graph.json,
which the panel reads live.
# watch a Markdown vault (e.g. the vault your DSH memory skill writes to)
node tools/watch.mjs --vault "C:/path/to/vault"
# or watch a documents folder (md / docx / xlsx)
node tools/watch.mjs --workspace "D:/my-notes"
Changes are debounced (2.5s) and the graph is rebuilt in ~1-3s. The panel re-fetches
/api/dsh-brain/graph every time it opens, so reopening it shows the latest graph —
no repack, no page refresh.
The panel no longer embeds data; it asks the host:
GET /api/dsh-brain/graph → brain/graph.json
brain/graph.json (demo data, or whatever rebuild.mjs wrote).// ~/.dsh/brain-viewer.config.json
{ "graphPath": "C:/path/to/ai-brain/graph.json" }
Restart DSH once so the host route is loaded; after that, data changes only need reopening the panel.
gl.LINES batch; pan/zoom only updates a matrix instead of rebuilding geometry. A 6,398-node graph renders in 0.6–1.2 ms per frame (the old Canvas2D path was ~90 ms/frame).requestAnimationFrame at all while nothing is animating or interacting (0 frames at rest) — the same strategy as Obsidian's graph view. Continuous frames only while the drift / pulse toggles are on.client.js dropped from 1 MB to 31 KB; data never ships in the bundle and changes need no repack.brain/seed_demo.py).tools/rebuild.mjs --workspace reads files locally only; nothing is uploaded.dsh plugin --profile desktop remove dsh-brain-viewer
Or delete dsh-brain-viewer from the profile's dsh.profile.bundles.
MIT
DSH runs pnpm install on every start. If the plugin is only in dsh.profile.bundles but not in
dependencies, pnpm treats it as "not in the dependency tree" and moves it to node_modules/.ignored/.
The correct install (what install.mjs does):
<profile>/local-plugins/dsh-brain-viewer"dsh-brain-viewer": "link:./local-plugins/dsh-brain-viewer" in dependenciespnpm install so the lockfile records the linkIf pnpm fails on minimumReleaseAge / supply-chain policy (a transitive package missing from the mirror
manifest), add it to minimumReleaseAgeExclude in the profile's pnpm-workspace.yaml.