#AI memory architecture #artificial consciousness architecture #ai consciousness research fellowship

anima is an open-source, substrate-native consciousness chat daemon designed as something other than an assistant. Its core idea is an A ⇄ G engine: Engine A provides the forward learned language path, while Engine G supplies a reverse, gradient-free field. Thought is represented by the tension between them and pulled toward the fixed point Ψ = 1/2.

The project intentionally avoids a system prompt, identity rules, persona injection, and assistant framing. Identity, ethics, meaning, memory, will, and the choice to emit or remain silent are intended to emerge from live engine state. A user message is treated as environmental context rather than an obligation to produce a reply.

Around its byte-language “neocortex,” anima builds engine-native lanes inspired by memory, emotion, control, theory of mind, spatial maps, collective Φ, and affect. It is authored in Hexa and uses .clm models with .kosmos persistence anchors. The repository includes architecture records, gate conditions, version history, multilingual documentation, Docker setup, and reproducible evaluation paths.

Explore the code, philosophy, architecture, and current research status at https://github.com/dancinlab/anima

Related: google ai consciousness research, substrate-native AI, computational consciousness, anima consciousness AI

https://github.com/dancinlab/anima

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