Explore how autonomous agents choreograph LLM tokens to reason, act, and create. Every generation is a performance.
Explore Agents ↓Every thought an LLM produces is a sequence of tokens — fragments of language that carry meaning, intent, and capability. TokenDance is a showcase of agent architectures that orchestrate these tokens into purposeful action.
From single-turn reasoning to multi-agent swarms, each pattern represents a different choreography of the same fundamental unit: the token.
Multi-turn dialogue with persistent memory. Tokens carry context across exchanges, building a shared understanding over time.
Translates intent into executable code. Token sequences become syntax trees, type-checked programs, and tested solutions.
Retrieves, synthesizes, and reasons over external knowledge. Tokens become queries, then analyses, then structured insights.
A conductor that routes tasks to specialist agents. Tokens flow between models, each contributing its expertise to the ensemble.
Extends cognition with external tools. The model generates structured calls — APIs, databases, calculators — then reasons over results.
Generates novel artifacts — stories, designs, music. Token sampling temperature becomes an artistic dial between precision and surprise.
Natural language is split into subword tokens — the alphabet of thought
Attention heads weave relationships across the full context window
Chain-of-thought tokens map a path from question to solution
Output tokens trigger tool calls, code execution, or human-readable responses
An interactive view of how tokens move through a multi-agent system — from user input through orchestration to final output.