Drag, Drop and Orchestrate with
Waldiez
Design, orchestrate, and execute multi-agent workflows for Large Language Models through an intuitive drag-and-drop interface. No deep coding expertise required.
Design, orchestrate, and execute multi-agent workflows for Large Language Models through an intuitive drag-and-drop interface. No deep coding expertise required.
Three simple steps to orchestrate your AI agents
Use the visual interface to compose workflows by drag-n-drop and connecting AI agents, tools, and data sources.
Define how agents interact, assign roles, and set up dynamic workflows that adapt beyond rigid rule-based logic.
Run your workflow and monitor progress in real time. Export to Python scripts or Jupyter notebooks for further analysis.
Everything you need to build sophisticated multi-agent AI workflows
Design and manage AI agent workflows through an intuitive drag-and-drop interface. No heavy coding required.
Enable real-time collaboration between autonomous agents using the powerful AG2 framework.
Export and import models, skills, agents, and workflows for fast iteration and deployment.
Integrate with OpenAI, Anthropic, Google, NVIDIA, Ollama, and more leading LLM providers.
JupyterLab Extension, VS Code Extension, and Waldiez Studio for seamless workflow management.
Ready-to-use Docker images for easy deployment of all Waldiez components.
Waldiez features support for today’s leading LLMs, enabling seamless agent orchestration across powerful foundation models.
Explore practical applications of Waldiez in AI orchestration.
Begin orchestrating AI agents in minutes
Waldiez leverages the powerful AG2 framework to enable dynamic, collaborative agent orchestration.