MANIFEST_

Architecture // Scale // Proof

229 core system modules. 137 UI components with manifests. 6 production sites. Every module declared, every dependency mapped, every boot phase gated.

This is not documentation. This is the runtime describing its own structure.

17-Phase Deterministic Boot

Phase 0 — Critical Paint. Static HTML, CSS, fonts. Sub-second. No JS required.

Phase 1 — Interactive Boot. Kernel registration, stamp engine, UI module loading.

Phase 2 — Engine Enrichment. Snapshots, memory sync, integrity observers, AI workers.

Boot modes: fast (public sites), full (admin/apps), site.public, app.secure, admin.

Page renders before engine. Engine may fail. Page never does.

Module Ecosystem

229 core modules: Kernel, Bus, Memory, Trust, Diagnostics, Mind, Neuron, Chain, FMEA, Signal Mesh.

137 UI atoms: Composable, self-registering, manifest-driven, wrapping-aware, stamp-ready.

Stamp engine: Declarative module placement via JSON. Conditional on site, route, user, device, env.

SSR support: Optional .ssr.js files for static rendering at build time. Async-safe.

Hot composition: Pages built from JSON section trees. Runtime-introspectable.

Bus & Signal Mesh

daBus — Typed events with kind discrimination (event, command, query, signal).

daSignalMesh — Cross-module signal propagation with peer broadcast.

Handshake protocol — Announce/resolve lifecycle. Modules earn presence through handshake.

Pulse heartbeat — Continuous runtime health monitoring. Vitals every cycle.

Memory bridge — Persistent and volatile storage with policy enforcement via daMemory.

Ask/await pattern — Synchronous RPC over the async bus. Request/response in event space.

FMEA // Failure Mode Analysis

daFMEA runs risk analysis on every module. Severity, occurrence, detection scores produce an RPN (Risk Priority Number).

High-RPN modules trigger trust attenuation. Reflexive lockdown for critical violations. Auto-injection of diagnostic cortex for failing modules.

Risk maps persist across sessions. Historical risk trends inform predictive trust scoring in daMind. The system learns from its own failures.

6 sites. 229 core modules. 137 UI atoms. One deterministic runtime. Zero prayer-based deploys.