State built for movement.
Brixs introduces a new blockchain data architecture optimized for scalable execution, object-based ownership, and parallel state transitions — blockchain state designed for movement, not storage.
Object-centric architecture
Everything becomes an object.
Instead of managing accounts globally, Brixs assigns ownership directly to individual blockchain objects — isolating state so transitions execute independently.
Object ID
Every unit of state carries a unique object identifier instead of living inside a shared global account.
Direct ownership
Ownership is assigned to individual objects, isolating state and unlocking speed and security.
Metadata & state
Objects hold their own metadata and state, so lookups are fast and conflict-free.
Access permissions
Per-object access rules replace global account contention and shared-state locks.
Parallel transitions
Object A, B, and C changes execute simultaneously through a conflict-aware transition engine.
Execution history
Each object keeps its own execution history for independent, verifiable state writes.
State representation
Object-centric state.
Each object owns its identity, owner, metadata, and state. Storage lanes write independently — no global lock, no shared-state conflicts, no sequential bottleneck.
interface BrixsObject {
id: ObjectId; // unique object identifier
owner: Address; // object-level ownership
state: Bytes; // isolated, per-object state
metadata: Metadata;
permissions: AccessRule[];
history: ExecutionLog;
}
// parallel, conflict-aware transitions
function transition(objs: BrixsObject[]) {
return runParallel(objs, {
lanes: ["A", "B", "C", "D"],
conflicts: "aware",
lock: "none",
});
}Visual surface
The data model in the system.
| Architecture | Account-based | Brixs Object-centric |
|---|---|---|
| State Ownership | Global contracts hold balances | Users directly own isolated objects |
| Execution | Sequential bottleneck | Parallel execution by default |
| Asset Creation | ERC20 contract deployment | Native typing at protocol level |
| Data Storage | Expensive global key-value maps | Cost-efficient independent lanes |
Better data architecture