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Visual conversation map for DeepSeek Harness: an infinite whiteboard where every session is a card — drag to arrange, double-click to start a chat in place, draw an edge to fork a new session with injected context. Built for ADHD-friendly spatial memory. · DSH 可视化对话地图：会话即卡片，双击即聊，连线分叉带上下文的新对话。
Proactive associative memory for DSH: zero-prompt recall injected before the model speaks, three-layer auto-consolidation, skill crystallization, and Astra-style context management - handoff ledgers, PLAN whiteboard, water-level sensing. Local-first, model-agnostic, zero deps. 主动联想记忆+Astra 式上下文管理:自动唤回/自动沉淀/技能固化/交接账本与白板跨窗口续命/水位感知。
Noteboard for the dsh web GUI: a workspace-wide infinite canvas of Markdown sticky notes (.noteboard/), with multi-canvas layouts, tag rearrange, conversation text capture, and an AI distill path.
Multi-layer project whiteboard view: a mind-map of boxes and connectors over layers, registered into the conversation view ring (no service). 发布为 DSH 客户端插件，可 GitHub / npm / tarball 分发。
DSH teaching surface: project agent-generated self-contained HTML into a sandboxed in-session board with handwriting annotation and a built-in screenshot that returns to the conversation as a real user message. Ships its own usage skill (skills/stage-panel).