Sim is the open-source AI workspace where teams build, deploy, and manage AI agents. Build visually in the workflow builder, conversationally in Chat, or with code through the API. Connect 1,000+ integrations and every major LLM to create agents that automate real work.
How you build
When you open Sim, the first thing you meet is Chat, a conversation over your whole workspace. You describe the system you want, and Sim scaffolds it: workflows, tables, knowledge bases, and the wiring between them. You then open what it built, run it, and refine it.
- Chat. Describe a system in natural language and Sim creates and edits the resources for you. The fastest way to start.
- Workflow builder. Design agent logic visually by connecting blocks in the builder. The clearest way to see and fine-tune what runs.
- API and SDK. Build and trigger agents programmatically.
You can mix these on one system, scaffolding in Chat and then fine-tuning in the builder.
Sim generates the architecture, and you verify the execution. Even when you build conversationally, it helps to understand the resources Sim creates, so you can inspect, run, and improve them.
The anatomy of a workspace
A Sim system is not a single chat response. It is a set of resources that live in a workspace and connect to each other. The sidebar mirrors that anatomy, and these are its parts.
- Chat is your AI command center. Talk to Sim — build and manage everything in natural language.
- Workflows are visual programs made of blocks, where your logic runs. Most other resources become useful through a workflow.
- Agents and tools are how a workflow acts. An agent reasons with a model, and tools let it take actions like sending an email or querying an API.
- Tables hold structured rows your workflows read, write, and process.
- Knowledge bases are searchable memory. An agent retrieves relevant passages from your documents to ground its answers.
- Files are the documents and media your workflows store, read, and produce.
- Deployments expose a workflow to the outside world as an API, a chat, or an MCP server.
- Logs record every run, block by block, so you can verify what happened.
What you can build
- AI assistants and chatbots. Conversational agents that search the web, manage calendars, send email, and act on your business systems.
- Business process automation. Data entry, report generation, customer responses, and content workflows.
- Data processing and analysis. Extract from documents, analyze datasets, and sync data across platforms.
- API integration workflows. Unified endpoints that orchestrate multi-service logic and event-driven automation.
Integrations
Sim provides native integrations with 1,000+ services:
- AI models. OpenAI, Anthropic, Google Gemini, Groq, Cerebras, and local models via Ollama or VLLM.
- Communication. Gmail, Slack, Microsoft Teams, Telegram, WhatsApp.
- Productivity. Notion, Google Workspace, Airtable.
- Development. GitHub, Jira, Linear, automated browser testing.
- Search and data. Google Search, Perplexity, Firecrawl, Exa AI.
- Databases. PostgreSQL, MySQL, Supabase, Pinecone, Qdrant.
For anything not built in, MCP support connects any external service or tool.
Deployment options
- Cloud-hosted. Launch immediately at sim.ai with managed infrastructure, scaling, and observability.
- Self-hosted. Deploy on your own infrastructure with Docker Compose or Kubernetes, with support for local models.
Next steps
Quickstart
Build your first agent in 10 minutes
Building with Chat
Build and manage your workspace in natural language
Workflows
The executable center, and the blocks it's built from
Blocks
The building blocks of a workflow