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Sim Studio is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.

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simstudioai/sim

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License: Apache-2.0 Discord Twitter PRs welcome Documentation

Sim Studio is a lightweight, user-friendly platform for building AI agent workflows.

Sim Studio Demo

Getting Started

  1. Use our cloud-hosted version
  2. Self-host using one of the methods below

Self-Hosting Options

Option 1: NPM Package (Simplest)

The easiest way to run Sim Studio locally is using our NPM package:

npx simstudio

After running these commands, open http://localhost:3000/ in your browser.

Options

  • -p, --port <port>: Specify the port to run Sim Studio on (default: 3000)
  • --no-pull: Skip pulling the latest Docker images

Requirements

  • Docker must be installed and running on your machine

Option 2: Docker Compose

# Clone the repository
git clone https://github.com/simstudioai/sim.git

# Navigate to the project directory
cd sim

# Start Sim Studio
docker compose -f docker-compose.prod.yml up -d

Access the application at http://localhost:3000/

Using Local Models

To use local models with Sim Studio:

  1. Pull models using our helper script:
./apps/sim/scripts/ollama_docker.sh pull <model_name>
  1. Start Sim Studio with local model support:
# With NVIDIA GPU support
docker compose --profile local-gpu -f docker-compose.ollama.yml up -d

# Without GPU (CPU only)
docker compose --profile local-cpu -f docker-compose.ollama.yml up -d

# If hosting on a server, update the environment variables in the docker-compose.prod.yml file to include the server's public IP then start again (OLLAMA_URL to i.e. http://1.1.1.1:11434)
docker compose -f docker-compose.prod.yml up -d

Option 3: Dev Containers

  1. Open VS Code with the Remote - Containers extension
  2. Open the project and click "Reopen in Container" when prompted
  3. Run bun run dev in the terminal or use the sim-start alias

Option 4: Manual Setup

  1. Clone and install dependencies:
git clone https://github.com/simstudioai/sim.git
cd sim
bun install
  1. Set up environment:
cd apps/sim
cp .env.example .env  # Configure with required variables (DATABASE_URL, BETTER_AUTH_SECRET, BETTER_AUTH_URL)
  1. Set up the database:
bunx drizzle-kit push
  1. Start the development server:
bun run dev

Tech Stack

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Made with ❤️ by the Sim Studio Team

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Sim Studio is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.

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