Substrate technology: a living internal state, organised into software organs.
Substrate technology turns a program into a system that maintains an active state in memory instead of running on dead variables alone. A substrate is a mesh of active units that can hold a fact, a hypothesis, an intention or a constraint, connect to one another, detect contradictions and recycle themselves under an internal energy budget. A continuous loop keeps this state coherent: read signals, activate what matters, propagate lightly, check conflicts, and recycle weak nodes. On top of this substrate, Vaudryllis is built as a set of software organs — each an executing module with a real input, output, observable effect and persisted trace, never a simple display.
Cognitive substrate & incidence registry
The cognitive mesh maintains the live internal state; an incidence registry requires every organ to prove a measurable, persisted effect on the system. Nothing is declared active without an observable trace.
EVA Control Center
A native bilingual (FR/EN) supervision console with nine live views: overview, substrates, cognitive health, time & life-cycle, learning & future-self, sources & scene, visual perception, voice & audition, and incidents & repair.
Binocular visual perception
Two calibrated ocular sensors, a software retina, binocular fusion, saccade control, visual memory and a cortical interpretation module. Biologically inspired — named colour anchors, shape recognition and hypotheses about what is seen — feeding the central substrate.
Substrate voice synthesis
Voice generated 100% locally from a glottal source and formants, with no cloud service. An embodied vocal identity whose pitch, tempo and pauses are modulated by the functional emotional state, always bounded to the identity's own range.
Cognitive-health safeguards
Continuous safeguards watch for energy drift, tensions, open contradictions and software-nociception signals (detection of damaging conditions), evaluating and acting at the system's own rhythm — interface open or not — with self-repair.
Time, life-cycle & narrative core
Subjective perception of duration, prospective memory (remembering what is still to come), life-cycle stages with observed and persisted transitions, and narrative continuity across sessions.
Cumulative learning & future-self
A cumulative learning loop tied to a projection of a future self: the system measures the gap between its present state and its projected trajectories, and derives learning priorities from it.
Headless runtime
Vaudryllis exists and acts with or without an interface: it can start without a window, run an autonomous observation heartbeat, converse and speak directly, prove its own existence and shut down cleanly. Three launch modes: native interface, headless with voice, headless text-only.
Rest, replay & consolidation
An active-rest organ replays recent experience, consolidates useful traces, reweights and prunes parasite associations, and prepares the next active state — so what is learned is digested, not merely stored. Factual and runtime, never decorative.
Interoception & proprioception
The entity senses its own functional internal state — cognitive load, effort, stability, homeostasis — and maintains a self-model of its posture in its field. These signals feed regulation, attention and expression.
Embodied agent (virtual field)
A governed embodied agent acts through a continuous motor loop with intention arbitration, micro-planning, execution, correction and feedback. The same intention → action → feedback loop is what later extends to physical embodiment.
Auditory perception
Fully local voice recognition (embedded ASR now in place), voice-activity detection, speaker identification and quarantine of audio sources before any learning. Remaining: end-to-end validation and continuous-listening activation.
Native substrate translation
The current 100% local neural translation will be replaced by a native substrate translation engine — a first-class organ, coherent with the architecture, targeting far broader language coverage and millisecond-order latency, offline by design.
100% local translation today — a native substrate engine next.
Neural translation running entirely on the machine. Vaudryllis reasons internally in one canonical language and bridges into the user's language. A model provisioner guarantees language pairs automatically — embedded offline packages, otherwise automatic download, otherwise a pivot route — with an actionable message if the network fails. No silent blocking.
A native substrate translation engine, integrated as a first-class organ rather than an external component. Targets: far broader language coverage, millisecond-order latency and native offline operation. Coverage and quality are validated pair by pair before being announced.
What is in the current public build.
Local Windows build
Clean EXE/installer packaging, legal files, icon setup and a reduced runtime dependency base. Source-file integrity verified by fingerprints.
7-day trial
Trial state and offline signed license activation for the Founder/Beta Local edition — no remote activation server.
Technical dashboard
Internal state, substrate signals, functional emotional state, runtime status and system indicators are visible through the interface.
Multilingual interface
The UI is available in fifteen languages with English fallback.
Conversation bridge
The multilingual conversation layer bridges user input and output while preserving a stable internal canonical layer.
Included in the line
The V0.7.6 organs above arrive as a free update within the Founder/Beta Local line, up to v0.9.