deepseek-harness-interactive-learning

In everyday DeepSeek Harness conversations, asking about a concept or trying to understand a complex system yields a wall of text. The shape of a curve, the topology of a network, the flow of a state machine — these are inherently visual ideas forced into prose. deepseek-harness-interactive-learning introduces a dedicated Learning Agent preset that adds interactive diagrams, a reflective pause, and session-scoped learner state tracking as opt-in enhancements, without touching the behavior of any existing preset.

The core is the Semantic Visual Protocol v4, which selects a native renderer based on conceptual semantics: function plots, neural-network node-link diagrams, 2D geometric scenes, state transitions, sequence traces, causal feedback loops, and fourteen more forms — all driven through a closed, versioned declarative protocol. Model-supplied HTML, SVG, or JavaScript is never executed. Diagrams render inline in the conversation, stay interactive after a session refresh, and degrade gracefully to plain text when no Learning Client is present. The optional Reflective Pause fires only when a learner's answer would materially change the next teaching move, resolving in a single result without extra Continue turns. Session-scoped LearnerState tracks the current goal, prior knowledge surfaced, misconceptions, and scaffolding needs; snapshots are strictly validated and auditable, but they are never promoted into a cross-session user profile.

If you regularly use DeepSeek Harness to study math, physics, programming, or systems concepts and would rather nudge a parameter and watch the curve respond than read a paragraph of description; if you want a lightweight learning mode that tracks where you are stuck without interrupting your daily coding workflow; or if accessibility matters to you — keyboard navigation, screen-reader support, one chart occupying a single Tab stop — this preset was built for those needs. It does not replace your Standard or Code preset; once a learning segment ends, everything returns to ordinary conversation with no leftover overhead.