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Launch powerful AI agent workflows in minutes with Sim, an open-source platform to visually design, run, and scale agentic flows. In this video, you will see how to use the canvas-based builder to connect agents, tools, and blocks into end-to-end workflows without writing boilerplate code. Sim also integrates Copilot, allowing you to generate nodes, fix errors, and iterate on your flows directly from natural language. You can upload your own documents into a vector database so agents answer questions grounded in your specific content, enabling robust RAG-style knowledge workflows. Sim supports both cloud-hosted usage at sim.ai and self-hosted setups via NPM or Docker Compose, including local models with Ollama or vLLM. The stack is built on Next.js, Bun, PostgreSQL with pgvector, Socket.io, and more, giving devel opers and teams a modern, production-ready foundation for AI automation. If you are building chatbots, AI copilots, or multi-agent systems, this video will help you understand how to prototype and deploy them visually with Sim. Links: Sim website: https://sim.ai GitHub repo: https://github.com/simstudioai/sim Docs: https://docs.sim.ai #sim #simai #aiagents #aiworkflows #agentworkflows #agenticworkflow #opensourceai #opensourceagents #workflowbuilder #visualworkflowbuilder #lowcodeai #nocodeai #nextjs #typescript #automation #chatbot #artificialintelligence #aiautomation #rag #vectordatabase #pgvector #ollama #vllm #bunruntime #socketio #aitools #developertools #selfhostedai #simstudio #buildworkflowswithease