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tinychat is a framework for building and deploying conversational AI systems. It provides three fundamental abstractions that allow you to conceptualize complex conversational flows and applications as simple message processing systems:
  1. Message - Information quanta (the bits)
  2. MessageProcessor - Information transformations (the channels)
  3. CompositeProcessor - Information topology (the graph)
These primitives are composable and universal. Databases, APIs, LLMs, and CRMs are all processors —they transform messages. Conversations and agents (pipelines, graphs, multi-agent systems) are composite processors —they define how these transformations connect and flow. Everything else is derived from these three concepts.

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Quickstart guide

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Core primitives

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