simulai@dev:~$
simulai@dev:~$ neofetch 
simulai.dev v1.0.0
─────────────────────────
OS: Web/2026
Kernel: simulai-core 4.2.1
Shell: /bin/sim
Resolution: 0x0
Theme: Dark Terminal [custom]
SIMULAI(1) Developer Manual SIMULAI(1)
NAME
simulai - simulation-powered AI development platform
SYNOPSIS
simulai [--explore] [--build] [--deploy] [--about]
DESCRIPTION
# A next-generation platform that leverages simulation
# environments for AI model training, testing, and deployment.
# Built for developers who think in code.
simulai@dev:~$ ./explore.sh
────────────────────────────────────────────────────────────────────────────────
## Explore
+ Create realistic simulation environments in minutes
+ Train AI agents against dynamic, parameterized worlds
+ Access pre-built simulation templates for common scenarios
+ Observe emergent behavior through real-time visualization
 
import { SimEnvironment } from 'simulai';
 
const env = new SimEnvironment({
world: 'urban-grid-v3',
agents: 128,
physics: 'newtonian',
seed: 42
});
 
await env.initialize();
// Environment ready in 340ms
 
simulai/templates/
├── urban-grid-v3/
│ ├── config.toml
│ ├── agents.yaml
│ └── physics.wasm
├── fluid-dynamics/
│ ├── config.toml
│ └── solver.rs
└── multi-agent-v2/
├── config.toml
├── reward.py
└── README.md
simulai@dev:~$ cat BUILD.md
────────────────────────────────────────────────────────────────────────────────
## Build
- Manual environment configuration
- Fragile reward function tuning
- Slow iteration on training loops
+ Declarative simulation definitions
+ Auto-calibrated reward shaping
+ Hot-reload training with live metrics
 
simulai build --help
 
USAGE:
simulai build [OPTIONS] <project>
 
OPTIONS:
--env <path> Path to simulation environment
--agents <n> Number of parallel agents [default: 64]
--epochs <n> Training epochs [default: 1000]
--reward <fn> Reward function [auto|custom|hybrid]
--gpu Enable GPU acceleration
--watch Hot-reload on file changes
--verbose Detailed training output
 
# Training progress:
Epoch 847/1000 [████████████████████████████████████░░░░░░░░] 84.7%
Loss: 0.0234 Reward: +94.2 LR: 3e-4
GPU: RTX 4090 @ 78C VRAM: 18.2/24 GB
simulai@dev:~$ git log --oneline --graph
────────────────────────────────────────────────────────────────────────────────
## Deploy
* a3f7c21 deploy: production inference endpoint (HEAD -> main)
* e8b2d14 feat: add model quantization for edge
* 1c9a0f7 fix: reward calibration in multi-agent
* 7d4e583 feat: simulation replay & analysis
* b6f1a92 init: simulai-core v4.2.1
 
# Deploy with a single command
$ simulai deploy --target production
 
Deploying simulai-model@a3f7c21...
✓ Model validation passed
✓ Simulation tests: 247/247 passed
✓ Edge quantization: INT8
✓ Inference endpoint: api.simulai.dev/v1
✓ Latency p99: 12ms
 
Deploy complete. Time: 4.2s
 
# Supported targets:
cloud AWS / GCP / Azure managed inference
edge Quantized models for edge devices
local Docker container with API server
wasm Browser-native simulation runtime
simulai@dev:~$ cat README.md
────────────────────────────────────────────────────────────────────────────────
## About
simulai is a simulation-powered AI development platform
built for engineers who prototype in the terminal, iterate
in code, and deploy with confidence.
 
# Core principles:
1. Simulation-first development
2. Reproducible training environments
3. Zero-config deployment pipelines
4. Developer experience above all
 
# Quick start
$ npm install -g simulai
$ simulai init my-project
$ cd my-project
$ simulai dev
 
Ready. Simulation running at localhost:3000
 
# Links
$ simulai --docs Documentation
$ simulai --github Source code
$ simulai --discord Community
$ simulai --blog Updates
simulai@dev:~$