simstudioai/sim

Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.

What it solves

Sim provides a unified workspace for building, deploying, and managing AI agents and workflows. It eliminates the friction of connecting disparate tools by integrating LLMs, external data sources, and third-party applications into a single environment where agents can be developed and monitored.

How it works

Sim combines a visual workflow builder with conversational and code-based agent creation. It allows users to ingest files, knowledge bases, and structured table data to provide context to agents. The platform supports a wide range of integrations (over 1,000) and can be connected to major LLMs, including local models via Ollama and vLLM. It is available as a cloud-hosted service, a self-hosted Docker deployment, or a macOS desktop application.

Who it’s for

Developers and teams who want to build complex AI agentic workflows without switching between multiple tools for data ingestion, orchestration, and monitoring.

Highlights

  • Visual Workflow Builder: Create agents and workflows visually, conversationally, or through code.
  • Extensive Integrations: Connects to 1,000+ services including Slack, Notion, HubSpot, and Salesforce.
  • Integrated Data Management: Built-in tables (database), file storage, and synced knowledge bases for agent memory.
  • Flexible Deployment: Supports cloud, self-hosted (via Docker), and native macOS desktop app.
  • Local Model Support: Compatible with Ollama and vLLM for local inference.

Related

  • Project
    limecloud/lime

    An open-source full-stack desktop AI agent that integrates coding, terminal operations, and multimodal research into a single visual workspace to execute complex tasks.

  • Project
    openagents-org/openagents

    An open-source collaborative OS for AI agents that provides a unified workspace where multiple agents can share threads, files, and a browser to work together.

  • Project
    zgiai/zgi

    A source-available Agent Runtime platform for building, orchestrating, and operating AI agents and executable workflows with a self-hosted runtime.

  • Project
    deer-flow/llm-space

    A desktop application for agent builders to prototype, trace, debug, and evaluate AI agents with local-first data management.

  • Project
    zeenie-ai/OpenCompany

    A self-hosted, no-code canvas for building AI agent workflows that integrates with local or cloud LLMs and over 30 external services.