🔌 MCP Intermediate

Sim

by simstudioai

Build Production-Ready AI Agent Workflows Visually

Open-source platform for designing, testing, and deploying multi-step AI agent workflows with drag-and-drop simplicity and code-level control.

26,232 Stars
3,268 Forks
26,232 Watchers
156 Issues
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About This Project

Sim is a comprehensive platform that bridges the gap between no-code simplicity and developer flexibility for building AI agent workflows. It provides a visual interface to orchestrate complex multi-agent systems while maintaining full access to the underlying TypeScript codebase, making it ideal for teams that need both rapid prototyping and production-grade deployments.

Unlike traditional chatbot builders, Sim focuses on agentic workflows where AI agents can chain actions, make decisions, and interact with external tools and APIs. The platform supports major AI providers including OpenAI, Anthropic, Google Gemini, and DeepSeek, allowing you to mix and match models based on your specific use case requirements.

Built on Next.js and React, Sim offers enterprise-ready features like RAG (Retrieval-Augmented Generation) for knowledge-based agents, workflow versioning, and deployment pipelines. Whether you're building customer support automation, data processing pipelines, or complex research assistants, the platform scales from prototype to production without requiring a complete rebuild.

The open-source nature means you maintain full control over your data and deployments, with the flexibility to self-host or extend functionality through custom integrations. The active community of over 26,000 stars demonstrates strong developer adoption and ongoing innovation.

Key Features

  • Visual workflow builder with drag-and-drop agent orchestration
  • Multi-provider AI support (OpenAI, Anthropic, Gemini, DeepSeek)
  • Built-in RAG capabilities for knowledge-enhanced AI agents
  • Full TypeScript/React codebase for custom extensions
  • Production deployment tools with versioning and monitoring

How You Can Use It

1

Automated customer support systems with intelligent routing and context-aware responses

2

Data processing pipelines that extract, analyze, and summarize information from multiple sources

3

Research assistants that gather information, synthesize findings, and generate reports

4

Internal workflow automation for document processing, approval chains, and notifications

Who Is This For?

Full-stack developers, AI engineers, and technical teams building production AI applications who need both visual workflow design and code-level customization