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simstudioai/sim

📈 Trending★ 28,373TypeScriptAudience · vibe coderComplexity · 3/5ActiveLicenseSetup · moderate

TLDR

Open-source platform for building and deploying AI agents with a visual drag-and-drop interface, 1000+ integrations, and optional self-hosting.

Mindmap

mindmap
  root((Sim))
    What it does
      Build AI agents visually
      Deploy workflows instantly
      Connect 1000+ tools
    Key features
      Drag-and-drop canvas
      AI Copilot assistant
      Document knowledge store
    Deployment
      Hosted at sim.ai
      Self-host with Docker
      Run with npx command
    Use cases
      Document processing
      Request routing
      Multi-step automation
    Tech stack
      TypeScript
      Docker containers
      Multiple LLM support

Things people build with this

USE CASE 1

Automate document processing workflows by uploading files and letting agents extract or summarize information.

USE CASE 2

Route customer requests to the right team or tool by building decision-making agents without code.

USE CASE 3

Chain together actions across multiple apps (Slack, email, databases) to handle multi-step tasks automatically.

USE CASE 4

Create a custom knowledge base where agents answer questions using your own documents instead of generic web data.

Tech stack

TypeScriptDockerNode.jsReact

Getting it running

Difficulty · moderate Time to first run · 30min

Docker required to run locally; cloud version available but self-hosting needs compose setup.

Open-source license allowing free use and modification; check repository for specific terms.

In plain English

Sim is an open-source platform for building, deploying, and orchestrating AI agents, autonomous programs that can carry out tasks on your behalf. Think of it as a visual control center where you can design and connect AI-powered workflows without writing complex code. The platform gives you a drag-and-drop canvas where you can piece together agents, tools, and action blocks, then run those workflows immediately. A built-in Copilot feature lets you describe what you want in plain language, and it generates or adjusts the workflow for you. You can also upload your own documents into a built-in knowledge store so agents can answer questions grounded in your specific content rather than general internet knowledge. Sim connects to over 1,000 integrations and supports multiple large language models (the AI "brains" behind each agent), including models from Anthropic. You can run it as a hosted service at sim.ai, or self-host it on your own machine using Docker (a tool that packages software in isolated containers), either by running a single command with npx or by cloning the repository and using Docker Compose. You would reach for Sim when you want to automate multi-step tasks that involve AI decision-making, for example, processing documents, routing requests, or chaining together actions across different tools, without building that infrastructure from scratch. The codebase is written in TypeScript. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
I want to build an AI agent that reads PDF documents and extracts key information. How do I upload documents to Sim's knowledge store and configure an agent to use them?
Prompt 2
Show me how to create a workflow in Sim that routes customer support tickets to different teams based on the issue type using the drag-and-drop canvas.
Prompt 3
How do I self-host Sim on my own machine using Docker? Walk me through the setup process step by step.
Prompt 4
I need to connect Sim to Slack and my CRM. What integrations does Sim support and how do I set them up in a workflow?
Prompt 5
Can I use Sim's Copilot to generate an agent workflow by describing it in plain English? Show me an example.
Open on GitHub → Explain another repo

Generated 2026-05-21 · Model: sonnet-4-6 · Verify against the repo before relying on details.