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README.md

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 short_description: Reactive AI - Reactive Neural Networks and Event-Driven AI
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 # Reactive AI
 We are working on our own ideas of Reactive Neural Networks (RxNN) and Event-Driven AI, advancing from language models to AGI awareness models.
 
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 working only on environment events.
 
 ## Reactor AGI
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 Our primary architecture - **Reactor** - is planned as the first _**awareness AGI model**_, that's modelling awareness as an _Infinite Chain-of-Thoughts_,
 connected to _Short-Term and Long-Term Memory_ (_Attention-based Memory System_) and _Receptors/Effectors_ systems for real-time reactive processing.
 It will be able to constantly and autonomously learn from interactions in _Continouos Live Learning_ process.
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 ## RxNN Platform
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 We are working on complete Reactive Neural Networks development framework - [RxNN github](https://github.com/RxAI-dev/RxNN)
 
 ## Additional Research