worflam beta injects probabilistic perturbations into 1D cellular automata, spawns parallel timeline forks, and watches them merge when states realign — rendered live on the GPU.
worflam beta extends traditional 1D cellular automata with multi-world branching, real-time metrics, and custom rule design.
Inject per-row noise and watch perturbations split the canonical timeline into parallel, colour-coded forks that evolve concurrently. Switch rules below — it is running live.
The heatmap renders cell-level divergence across every active timeline, turning abstract perturbation growth into a readable temperature field from convergence to chaos.
Render the full branching history as a rotatable 3D voxel stack. Each fork becomes its own layer in depth, so you can orbit, pan, and inspect how lineages peel away over time.
Detach active forks into their own stacked grids to compare structures directly, or composite them with XOR and Sum modes to surface high-density intersections.
The full toolkit for designing, perturbing and analysing automata.
Every Wolfram rule from 0 to 255, edited by number or by toggling individual neighbourhood output bits.
Compose generating functions as typed node graphs — chain rules through AND, OR, XOR and NOT operators.
Track alive, forked and mixed cell counts, fork ages and merge events row by row, bit by bit.
When a forked row becomes identical to a timeline missing that fork, the engine resolves and merges it.
Switch between zero-clamped edges and a toroidal wrap to change how perturbations travel the grid.
Every run is reproducible from its seed, so any branch-and-merge graph can be replayed exactly.
Open the workbench and watch a single deterministic rule fracture into a living, merging multiverse.