# SimForge docs

> Install the simforge CLI, download the runtime and a map, render a scenario in 2D, schematic or 3D, train a policy with reinforcement learning, and run the same commands in the cloud.

Source: https://simforge.ai/docs

SimForge simulates driving scenarios in SimForge Worlds: real-world HD maps with their digital twins. Traffic reacts to your vehicle, the renderer produces camera images, and SimForge Gym, a Gymnasium environment, lets a learning policy drive. One command line, `simforge`, does all of it.

## How the pieces fit

| Piece | What it is | Licence |
|---|---|---|
| `simforge` CLI | The one command line. It prints JSON, so people, scripts and AI agents use it the same way. | Apache-2.0 |
| `simforge-rl` | SimForge Gym: the Python Gymnasium client for reinforcement learning. | Apache-2.0 |
| Runtime | The simulation engine and the renderer the CLI drives. A separate download after you sign in. | Closed binary under PolyForm Noncommercial 1.0.0, downloaded under the SimForge account and download terms |
| SimForge Worlds | Each World is an HD map of a real-world road network and its digital twin, the 3D environment the renderer draws. Downloaded after you sign in. | SimForge account and download terms: non-commercial, no redistribution |
| Cloud | SimForge Cloud: the same commands with `--cloud`, run on SimForge's machines. New accounts start with $10 in free credits. | Paid, with a cost cap on every run |

Commercial licences and questions about the license and terms: [contact@simforge.ai](mailto:contact@simforge.ai).

Commands run on your machine by default. Add `--cloud` and the same command runs hosted. Nothing ever switches between the two on its own: a missing runtime or a refused cloud run is an error that names the fix.

## From install to first render

The [quickstart](/docs/quickstart) does all of it in four steps. In more detail:

1. [Install the CLI](/docs/install).
2. [Sign in and install the runtime](/docs/sign-in).
3. [Download a map](/docs/maps).
4. [Author a scenario](/docs/scenarios) with typed operations.
5. [Render it](/docs/render) in 2D, schematic or 3D.

Then [train a policy](/docs/rl) locally, or [run renders in the cloud](/docs/cloud).

## For AI agents

Agents use the same CLI. Start at [For AI agents](/docs/agents): it lists the machine-readable command surface, the [skills pack](/docs/skills) for Claude Code, Codex and AGENTS.md agents, and [/llms.txt](/llms.txt).