Turn a prompt intoa running model.
Describe a system and get an interactive simulation: 3D rendering, live parameters, and real-time editing. The code behind it is generated just in time, sandboxed, and yours to export.
A chaotic system, integrated in your browser.
The canvas below is a real double pendulum integrator, not a video. Drag the page away and it pauses itself.
Show me why a double pendulum is chaotic
Change something
These controls are live. The renderer holds their state, not a server.
And this is Simulation Studio as it ships.
A 3D viewport with an Entities and Systems outliner, a mode toggle, and a transport row. Describe a change in plain language and it edits the running scene.
Entities · 1
knot
Systems · 2
spin
float
Interface, rebuilt in the page · v0.1.10
The simulation is code, and you can take it with you.
A generated simulation is not a rendering the agent hands you; it is a module it wrote. You can read it, change it, break it, and export it into your own work. Nothing about the result is locked to MeghaOS.
- Parameters are live: change one and the integrator responds immediately
- Generated source is inspectable, editable, and exportable
- Runs entirely on your hardware, so there is no per-simulation cost
- Sandboxed like any other just-in-time code on the system
# Every simulation is real code you can keep.
from megha.sim import Scene
scene = Scene("torus knot")
scene.entity("knot", geometry="torus_knot", p=2, q=3)
scene.system("spin", target="knot", rate=0.4)
scene.system("float", target="knot", amplitude=0.2)
scene.run(speed=1.0)
scene.export("knot.mp4")Useful when the answer is a behaviour, not a number.
Teaching and understanding
A system you can perturb teaches more than a plot of one run. Change gravity, watch the divergence, build the intuition.
Sensitivity, made visible
Run near-identical initial conditions side by side and see where they separate: the practical definition of a chaotic system.
Rapid what-if
Model a queue, a supply chain, a rate limiter. Anything where the interesting question is what happens over time.
Prototyping before committing
Generate a rough model in a minute, decide whether the real implementation is worth a week.
Run it on your own machine.
Free to download. Nothing leaves the device unless you connect it. Enterprise deployment is a conversation away.