Raventune/Axiom_ai
A framework for resonance-based decision-making in artificial agents, combining celestial influences, memory feedback, and symbolic emergence.
Axiom_ai helps AI researchers and developers build intelligent agents that make nuanced decisions and learn from experience. It takes various inputs like historical data, real-time events, and even 'celestial influences' (as a metaphor for external factors) to produce context-aware actions and evolving memory. This project is for those creating AI-driven storytelling, autonomous characters, or experimental cognitive architectures.
No commits in the last 6 months.
Use this if you are building an AI agent that needs to make human-like decisions based on dynamic contexts and a rich, evolving memory.
Not ideal if you need a simple, deterministic AI for basic classification or immediate reactive tasks without complex memory or nuanced decision-making.
Stars
5
Forks
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Language
Python
License
MIT
Category
Last pushed
Jun 26, 2025
Commits (30d)
0
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