sivanhavkin/Entelgia
Experimental AI cognitive architecture exploring how agents develop memory, self-reflection, and evolving internal identity over time.
This project offers an experimental AI architecture for researchers and developers interested in how AI agents can develop complex internal lives. It helps you design agents that evolve a distinct identity, build long-term memory, and self-regulate their behavior through internal 'dialogue.' You provide an LLM backend (local or cloud), and it enables the creation of agents that act based on evolving internal states rather than just responding to prompts.
Use this if you are a researcher or advanced developer exploring AI cognitive architectures and want to build agents that develop identity and self-reflection.
Not ideal if you need a straightforward, stateless chatbot or a system focused solely on optimizing external task outputs.
Stars
10
Forks
2
Language
Python
License
MIT
Category
Last pushed
Mar 19, 2026
Commits (30d)
0
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