Sim Studio

Open-source visual workspace for building multi-agent workflows as executable graphs.

Open Source Automation & Agents

What is Sim Studio?

Sim Studio is an open-source, Figma-like canvas for designing multi-agent AI workflows as explicit directed graphs. You compose agent blocks with system prompts, tool definitions, and sampling settings, then connect them with conditional, loop, and routing logic — and the graph itself is executable, so you can run simulations to see how prompt or model changes affect outcomes. It supports dozens of pre-built integrations, multiple LLM providers plus local Ollama, and scales from local prototyping to cloud deployment with monitoring and governance.

Key features

  • Drag-and-drop visual canvas for multi-agent workflow graphs
  • Agent blocks with system prompts, tools, and structured output control
  • Branching, loops, conditional execution, and LLM-based routing
  • Executable graphs with simulation runs to test prompt and model changes
  • 80+ pre-built integrations usable as blocks or agent tools
  • Multi-model support including hosted providers and local Ollama
  • Deploy, monitor, and govern workflows from the same workspace

Pros

  • Apache 2.0 open source with a public GitHub repository
  • Explicit visual graphs make complex agent logic debuggable
  • Simulations let you iterate on prompts before production
  • Local development via Ollama keeps prototyping private and cheap

Cons

  • Young project without a dedicated evaluation framework yet
  • Workflow-centric; no coding-agent runtime with shell and git primitives
  • Commercial hosting terms and limits beyond open source are unclear

Sim Studio at a glance

PricingOpen Source
CategoryAutomation & Agents
Platformsweb, api
Official websitesimstudio.ai
multi-agentvisual-builderworkflow-graphsopen-sourceagent-orchestrationsimulationno-code

How to choose the right Automation & Agents tool

Automation and agent tools promise to do work for you, so judge them on reliability before cleverness. Map the exact workflow you want to automate, then check the tool's integrations cover every app in that chain — one missing connector breaks the whole flow. Look for clear triggers, sensible limits, and logs you can read when something goes wrong, because something eventually will. For agents that act on your behalf, approval controls matter: you should be able to review messages, purchases or changes before they happen, especially at the start. Pricing usually scales with runs or tasks, so estimate your monthly volume honestly. Start with one low-risk workflow, measure the time it truly saves, and expand from there.

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Sim Studio FAQs

What is Sim Studio?

Sim Studio is an open-source, Figma-like canvas for designing multi-agent AI workflows as explicit directed graphs. You compose agent blocks with system prompts, tool definitions, and sampling settings, then connect them with conditional, loop, and routing logic — and the graph itself is executable, so you can run simulations to see how prompt or model changes affect outcomes. It supports dozens of pre-built integrations, multiple LLM providers plus local Ollama, and scales from local prototyping to cloud deployment with monitoring and governance.

What are the main features of Sim Studio?

Sim Studio offers Drag-and-drop visual canvas for multi-agent workflow graphs, Agent blocks with system prompts, tools, and structured output control, Branching, loops, conditional execution, and LLM-based routing, Executable graphs with simulation runs to test prompt and model changes, 80+ pre-built integrations usable as blocks or agent tools, Multi-model support including hosted providers and local Ollama and Deploy, monitor, and govern workflows from the same workspace.

How much does Sim Studio cost?

Sim Studio is open source, so the software itself is free to download, use and self-host. Your only costs are the infrastructure you run it on and any paid services you connect to it.

What are the pros and cons of Sim Studio?

Strengths of Sim Studio include Apache 2.0 open source with a public GitHub repository; Explicit visual graphs make complex agent logic debuggable; Simulations let you iterate on prompts before production. On the downside, Young project without a dedicated evaluation framework yet; Workflow-centric; no coding-agent runtime with shell and git primitives; Commercial hosting terms and limits beyond open source are unclear.