Pipecat

Pipecat is a visual platform for building and running AI agent workflows. Instead of writing complex code to chain together language model calls and tool integrations, you use a drag-and-drop interface to create directed acyclic graphs (DAGs). You can connect nodes for different LLMs (like OpenAI, Anthropic, or Gemini), custom HTTP tools, and logic steps, then execute the entire pipeline with a single click. The system handles the orchestration automatically, calling services in the correct order and passing data between nodes.

What makes Pipecat stand out is its focus on visibility and efficiency. You see the entire workflow on a canvas and watch it execute in real time via WebSocket streams, with live updates for each node's status. The platform runs independent branches of your workflow in parallel, which means a multi-step process completes in the time of its slowest step rather than the sum of all steps. You can also register any HTTP endpoint as a tool, allowing your AI agents to interact with external APIs without additional coding.

This tool is particularly useful for developers and teams who need to prototype and deploy AI-powered automations quickly. It eliminates the infrastructure overhead of managing LangChain or custom orchestration code. Real-world applications include building customer service agents that can search knowledge bases and check order statuses, creating research assistants that gather and synthesize information from multiple sources, or developing internal tools that automate complex business logic with AI decision-making.