AgentRunner

• Visual workflow builder with a drag-and-drop node interface
• Multi-model support including GPT, Claude, Gemini, and local LLMs
• Create fully autonomous task-driven agents
• Version control for agent updates and experimentation
• Real-time logs and execution history for better debugging
• API endpoints to deploy and integrate agents into applications
• Agent memory for long-term context handling
• Conditional logic and branching for complex automations
• Team collaboration with roles and shared workspaces
• Secure cloud environment with encrypted key management

AgentRunner is a modern no-code platform designed to make the creation and deployment of autonomous AI agents accessible to everyone. Instead of writing complicated scripts or stitching multiple tools together, AgentRunner provides a clean visual builder that allows you to design intelligent agent workflows in a node-based interface. This makes it ideal for developers, startups, and business teams looking to implement AI automation quickly and efficiently.

Building an agent begins with selecting the AI model you want to use. AgentRunner supports multiple leading models, giving you flexibility to choose the intelligence layer that best fits each task. From there, you can design workflows by connecting nodes that represent prompts, data inputs, conditional logic, and integrated actions. This visual approach eliminates complexity while ensuring you maintain full control over how your agent behaves.

AgentRunner’s autonomous agents are capable of handling multi-step processes, making decisions, using memory, retrieving information, and interacting with external apps. The platform includes execution logs and detailed run history, helping you understand how your agent thinks and allowing you to refine behaviors with precision.

A major advantage of AgentRunner is the ability to publish your agents as fully functional API endpoints. This allows seamless integration with your existing systems, applications, and automation pipelines. Whether you’re building customer-facing tools or internal automations, your agents can be triggered and controlled programmatically.

Version control ensures that experimentation never disrupts production. You can create new versions, test improvements, and safely roll back at any time. Collaboration features allow teams to work together with shared workspaces and role-based access, enabling smooth cooperation across engineering and operations.

AgentRunner offers both free and paid plans, making it an excellent choice for individuals exploring AI automation and teams building enterprise-scale agents. Its powerful combination of no-code simplicity, multi-model support, and autonomous capabilities makes AgentRunner a standout platform for the future of AI-driven workflows.