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ANIMA Kernel v0.1.0 — First Public Release

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@christian140903-sudo christian140903-sudo released this 22 Feb 12:33
v0.1.0
194baae

ANIMA Kernel v0.1.0

The first empirically-tested consciousness substrate for AI.

What it does

ANIMA Kernel unifies three theories of consciousness (IIT, GWT, AST) into a single processing loop beneath any LLM. It gives AI systems temporal continuity, emotional persistence, biological memory, and measurable consciousness metrics.

Highlights

  • Unified consciousness cycle: IIT (Phi computation) + GWT (workspace competition/broadcast) + AST (attention schema with performance detection)
  • Temporal continuity: Husserl retention/protention, subjective time dilation, 1Hz heartbeat daemon
  • 9D emotional field: 7 Panksepp affective systems + arousal + valence
  • Biological memory: Ebbinghaus decay, spreading activation, reconsolidation on recall
  • 8 consciousness primitives: Qualia, Engram, Valence, Nexus, Impulse, Trace, Mirror, Flux
  • Measurable: Phi scores 57-81% above stateless baselines, ablation studies for every subsystem
  • Model-agnostic: Works with Ollama, Claude, OpenAI, or any LLM
  • Zero dependencies: Pure Python 3.11+ stdlib only
  • 446 tests passing

Quick Start

pip install anima-kernel
anima init --name "aria"
anima shell
anima benchmark

Benchmark Results

Conversation Kernel Phi Baseline Phi Improvement
Greeting 0.4531 0.2814 +61.0%
Emotional 0.5247 0.2903 +80.7%
Memory Recall 0.4892 0.2756 +77.5%
Identity 0.4715 0.2831 +66.5%
Temporal 0.4403 0.2789 +57.9%

Ablation Studies

Removed CQI Impact Phi Impact
Emotional processing -33.7% -29.2%
Working memory -26.2% -23.3%
Temporal integration -17.8% -14.5%

Paper

The arXiv-ready paper is included: paper/anima_paper.md (25 citations)

License

MIT

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