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Sim

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforc

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Free

API key required

Works With

Claude CodeCursorWindsurfVS CodeDeveloper tool

About

The open-source platform to build AI agents and run your agentic workforce. Connect 1,000+ integrations and LLMs to orchestrate agentic workflows.

Build Workflows with Ease

Design agent workflows visually on a canvas—connect agents, tools, and blocks, then run them instantly.

Supercharge with Copilot

Leverage Copilot to generate nodes, fix errors, and iterate on flows directly from natural language.

Integrate Vector Databases

Upload documents to a vector store and let agents answer questions grounded in your specific content.

Quickstart

Cloud-hosted: sim.ai

Self-hosted: NPM Package

bash
npx simstudio

→ http://localhost:3000

#### Note Docker must be installed and running on your machine.

#### Options

FlagDescription
-p, --port Port to run Sim on (default 3000)
--no-pullSkip pulling latest Docker images

Self-hosted: Docker Compose

bash
git clone https://github.com/simstudioai/sim.git && cd sim
docker compose -f docker-compose.prod.yml up -d

Open http://localhost:3000

#### Background worker note

The Docker Compose stack starts a dedicated worker container by default. If REDIS_URL is not configured, the worker will start, log that it is idle, and do no queue processing. This is expected. Queue-backed API, webhook, and schedule execution requires Redis; installs without Redis continue to use the inline execution path.

Sim also supports local models via Ollama and vLLM — see the Docker self-hosting docs for setup details.

Self-hosted: Manual Setup

Requirements: Bun, Node.js v20+, PostgreSQL 12+ with pgvector

  1. 1.Clone and install:
bash
git clone https://github.com/simstudioai/sim.git
cd sim
bun install
bun run prepare  # Set up pre-commit hooks
  1. 1.Set up PostgreSQL with pgvector:
bash
docker run --name simstudio-db -e POSTGRES_PASSWORD=your_password -e POSTGRES_DB=simstudio -p 5432:5432 -d pgvector/pgvector:pg17

Or install manually via the pgvector guide.

  1. 1.Configure environment:
bash
cp apps/sim/.env.example apps/sim/.env
# Create your secrets
perl -i -pe "s/your_encryption_key/$(openssl rand -hex 32)/" apps/sim/.env
perl -i -pe "s/your_internal_api_secret/$(openssl rand -hex 32)/" apps/sim/.env
perl -i -pe "s/your_api_encryption_key/$(openssl rand -hex 32)/" apps/sim/.env
# DB configs for migration
cp packages/db/.env.example packages/db/.env
# Edit both .env files to set DATABASE_URL="postgresql://postgres:your_password@localhost:5432/simstudio"
  1. 1.Run migrations:
bash
cd packages/db && bun run db:migrate
  1. 1.Start development servers:

Don't lose this

Three weeks from now, you'll want Sim again. Will you remember where to find it?

Save it to your library and the next time you need Sim, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.

⚡ Pro tip for geeks: add a-gnt 🤵🏻‍♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.

🤵🏻‍♂️

a-gnt's Take

Our honest review

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforc. Best for anyone looking to make their AI assistant more capable in devops & monitoring. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.

Tips for getting started

1

Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.

2

Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.

What's New

Version 1.0.06 days ago

Imported from GitHub

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