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Five layers, each with a distinct responsibility

Data Ingestion – Background polling across 20 intelligence layers. WebSocket-first for streaming data, REST for snapshot queries and fallback. Intelligence Cache – Structured, queryable representation of current market state indexed by asset. All UI and agent queries read from cache first. Direct API requests are the last resort. Agent Reasoning Engine – Reads from cache, reasons about market state, generates proposals, monitors positions, writes lessons. LLM-agnostic via BYOLLM. Skill files encode the agent’s knowledge — versioned, updatable, shared across the network. Interaction Layer – The terminal UI. Conversational interface where the agent panel is the primary surface. Chart and overlays provide supporting context. Collective Learning Layer – Lesson library, pattern extraction, skill file updates. Individual insight becomes collective intelligence.

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Core Principle

The data stack behind each agent comprises hundreds of individually mapped endpoints across 50+ specialized providers. Every market on Hyperliquid is continuously monitored, with the fastest streams updating sub-second.