sim
Open-source platform to build and deploy AI agent workflows.
Stars: 14683
Sim is a platform that allows users to build and deploy AI agent workflows quickly and easily. It provides cloud-hosted and self-hosted options, along with support for local AI models. Users can set up the application using Docker Compose, Dev Containers, or manual setup with PostgreSQL and pgvector extension. The platform utilizes technologies like Next.js, Bun, PostgreSQL with Drizzle ORM, Better Auth for authentication, Shadcn and Tailwind CSS for UI, Zustand for state management, ReactFlow for flow editor, Fumadocs for documentation, Turborepo for monorepo management, Socket.io for real-time communication, and Trigger.dev for background jobs.
README:
Build and deploy AI agent workflows in minutes.
Cloud-hosted: sim.ai
npx simstudioDocker must be installed and running on your machine.
| Flag | Description |
|---|---|
-p, --port <port> |
Port to run Sim on (default 3000) |
--no-pull |
Skip pulling latest Docker images |
# Clone the repository
git clone https://github.com/simstudioai/sim.git
# Navigate to the project directory
cd sim
# Start Sim
docker compose -f docker-compose.prod.yml up -dAccess the application at http://localhost:3000/
Run Sim with local AI models using Ollama - no external APIs required:
# Start with GPU support (automatically downloads gemma3:4b model)
docker compose -f docker-compose.ollama.yml --profile setup up -d
# For CPU-only systems:
docker compose -f docker-compose.ollama.yml --profile cpu --profile setup up -dWait for the model to download, then visit http://localhost:3000. Add more models with:
docker compose -f docker-compose.ollama.yml exec ollama ollama pull llama3.1:8b- Open VS Code with the Remote - Containers extension
- Open the project and click "Reopen in Container" when prompted
- Run
bun run dev:fullin the terminal or use thesim-startalias- This starts both the main application and the realtime socket server
Requirements:
- Bun runtime
- PostgreSQL 12+ with pgvector extension (required for AI embeddings)
Note: Sim uses vector embeddings for AI features like knowledge bases and semantic search, which requires the pgvector PostgreSQL extension.
- Clone and install dependencies:
git clone https://github.com/simstudioai/sim.git
cd sim
bun install- Set up PostgreSQL with pgvector:
You need PostgreSQL with the vector extension for embedding support. Choose one option:
Option A: Using Docker (Recommended)
# Start PostgreSQL with pgvector extension
docker run --name simstudio-db \
-e POSTGRES_PASSWORD=your_password \
-e POSTGRES_DB=simstudio \
-p 5432:5432 -d \
pgvector/pgvector:pg17Option B: Manual Installation
- Install PostgreSQL 12+ and the pgvector extension
- See pgvector installation guide
- Set up environment:
cd apps/sim
cp .env.example .env # Configure with required variables (DATABASE_URL, BETTER_AUTH_SECRET, BETTER_AUTH_URL)Update your .env file with the database URL:
DATABASE_URL="postgresql://postgres:your_password@localhost:5432/simstudio"- Set up the database:
bunx drizzle-kit migrate - Start the development servers:
Recommended approach - run both servers together (from project root):
bun run dev:fullThis starts both the main Next.js application and the realtime socket server required for full functionality.
Alternative - run servers separately:
Next.js app (from project root):
bun run devRealtime socket server (from apps/sim directory in a separate terminal):
cd apps/sim
bun run dev:socketsCopilot is a Sim-managed service. To use Copilot on a self-hosted instance:
- Go to https://sim.ai → Settings → Copilot and generate a Copilot API key
- Set
COPILOT_API_KEYenvironment variable in your self-hosted apps/sim/.env file to that value
- Framework: Next.js (App Router)
- Runtime: Bun
- Database: PostgreSQL with Drizzle ORM
- Authentication: Better Auth
- UI: Shadcn, Tailwind CSS
- State Management: Zustand
- Flow Editor: ReactFlow
- Docs: Fumadocs
- Monorepo: Turborepo
- Realtime: Socket.io
- Background Jobs: Trigger.dev
We welcome contributions! Please see our Contributing Guide for details.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.
Made with ❤️ by the Sim Team
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Sim is a platform that allows users to build and deploy AI agent workflows quickly and easily. It provides cloud-hosted and self-hosted options, along with support for local AI models. Users can set up the application using Docker Compose, Dev Containers, or manual setup with PostgreSQL and pgvector extension. The platform utilizes technologies like Next.js, Bun, PostgreSQL with Drizzle ORM, Better Auth for authentication, Shadcn and Tailwind CSS for UI, Zustand for state management, ReactFlow for flow editor, Fumadocs for documentation, Turborepo for monorepo management, Socket.io for real-time communication, and Trigger.dev for background jobs.
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