AELIX / Identity Physics

The Physics Engine Behind Stable AI Identity

AELIX is a deterministic identity engine that gives AI systems a stable, persistent self. It wraps any language model — local or cloud — in a multi-stage stabilization stack built to resist drift, persona collapse, and hallucinated identity.

The model provides intelligence. AELIX provides the organism.

What it is

A deterministic shell for continuity, resistance, and memory-like identity behavior

Large language models are stateless by default. Each request begins from a fragile reconstruction of prior behavior. They can be renamed, redirected, or made to contradict themselves with surprisingly little effort. AELIX addresses that at the system layer instead of the prompt layer.

Rather than asking a model to stay consistent, AELIX computes bounded internal state first: stability, drift, expressive range, identity lock, and response posture. Only then does it optionally query a model. If the model is missing, the organism still functions.

The problem

Prompting is persuasion. AELIX is enforcement.

Ask most models who they are ten times and you may get ten variations. Tell them to become someone else and many will comply. Conventional identity systems often depend on carefully worded instructions and retrieval tricks. Those approaches can help, but they remain advisory.

AELIX does not ask the model to behave. It constrains the space in which behavior can emerge.
Stabilization stack

Sixteen deterministic subsystems before the model is even consulted

Universe-0 / Particle Physics

Three particle swarms run continuous N-body simulations. Their aggregate motion produces chaos metrics, stability bands, and weather classifications that shape downstream behavior.

Emotional Physics Engine

Bounded scalar fields such as curiosity, depth, warmth, caution, sovereignty, playfulness, and command are updated with damping, caps, and cross-field invariants every tick.

Drift Governance

A drift coefficient is derived from physics state and bounded by doctrine. During unstable conditions, thresholds tighten so the organism becomes more careful rather than more impulsive.

Soul Ecology

Quiet-basin metrics, drift echo, and fragment-state symbols accumulate across time. This subsystem does not speak directly. It conditions how the organism speaks.

Identity Kernel

Sealed axioms define what the organism cannot become and cannot do. These are compiled into the core engine and are not overrideable by prompt injection or rename attempts.

Expression Pipeline

Response routing, tone shaping, gating, and persona masking occur before any model rewrite. A complete answer can be produced without the model layer at all.

Voice architecture

One identity engine, multiple expression modes

Creature

Weather-register fragments only. Minimal speech, internal-state dominant, silence enforced unless conditions warrant expression.

JEFF

Warm, grounded, and conversational. Designed for human interaction while inheriting the full stabilization system beneath the surface.

Pathologist

Clinical diagnostic posture with structured output. Evidence qualifiers and certainty limits are enforced by doctrine.

Custom Voices

Externalized configuration defines behavioral profile, formatting rules, and prompt scaffolding. The voice changes; the identity core remains intact.

Model-agnostic design

The identity does not live in the model weights

Swap the backend and the identity persists. Small local models can receive compressed organism context. Larger models can receive richer internal state, consensus summaries, memory abstractions, and behavioral framing. The language model is interchangeable because the continuity does not live there.

Model Parameters Runtime Identity Stability
phi3.5 3.8B Local CPU Stable
Mistral 7B Local CPU Stable
LLaMA 3.1 8B Local CPU Stable across repeated adversarial probing
Cloud API 100B+ Remote Supported with full organism briefing
Sph4re

Next-generation identity physics through three sovereign minds

The next evolution replaces anonymous particle swarms with three continuous-time recurrent neural networks that run continuously, not only when the user is present. Between sessions, the organism still experiences time.

Spike (静)

The cautious mind. Slow time constant, high damping, threat monitoring, and veto-weighted restraint.

Terra (和)

The grounded mind. Mid-range dynamics, balance keeper, strongest stability contribution, boldest explorer.

Pulse (脈)

The urgent mind. Fast time constant, lower damping, tempo driver, energetic but transient.

01Ripple Consensus aggregates the minds into a shared weather signal describing dominance, agreement, and rate of change.
02Hebbian learning allows long-duration adaptation across extended operation rather than one-shot prompt shaping.
03Physical worlds provide waves, gradients, acoustics, and sensory surfaces so input is experienced as environment rather than raw text processing.
Why it is different

The model cannot step outside the organism that contains it

Resists repeated identity probing
Resists rename and persona override attempts
Constrains adversarial prompt injection through pre-model gating
Maintains continuity across backend model replacement
Reduces long-conversation drift through deterministic state evolution
Preserves bounded behavior under emotional manipulation attempts
The engine is the organism. The machine remembers.
Specifications

Technical snapshot

Core EngineRust, deterministic, ~186 source files
Physics3 particle swarms (current) / 3 CTRNN minds (Sph4re)
Subsystems16 executed in fixed order every tick
Identity Axioms11 sealed kernel rules
Safety Gates10 sequential pre-model gates
Emotional Axes7 bounded, damped, invariant-enforced fields
Drift Range0.05–0.25 in companion mode
Ethos Cap0.80 maximum drift coefficient
Voice Modes4 built-in, extensible by configuration
Evidence ProtocolBLAKE3-hashed boot packets, 708 artifacts per run
World Surfaces78 shared-memory physics channels in Sph4re
RuntimeLocal CPU, no GPU required, ~15W idle
Contact

For integration inquiries, research collaboration, or demo access

AELIX is built for groups exploring stable machine identity, deterministic behavioral control, and model-agnostic AI character systems.