AgentRunner

All-in-one AI workflow builder with visual prompt engineering and deployment tools.

Visit Website
AgentRunner

What is AgentRunner?

AgentRunner is an all-in-one AI workflow builder designed to accelerate AI development. It offers a visual editor, prompt chaining, versioning, and deployment tools to simplify AI app development. It allows users to build, manage, and version AI prompts and plan AI workflows visually.

How to use

Use the visual editor to design AI applications, chain prompts together, manipulate data, and integrate external APIs. Connect to AI models, manage prompts in a centralized workspace, and create branches for development, testing, and production. Deploy prompts via API from any programming language.

Core Features

  • Visual Prompt Engineering
  • Easy AI Model Integration
  • Centralized Prompt Management
  • Visual Programming Interface
  • Prompt Versioning
  • API Access to Prompts & Chains
  • Testing and Performance Monitoring
  • Team Collaboration
  • Cloud-Based Reliability
  • Security and Compliance

Use Cases

  • AI Chatbots and Virtual Assistants
  • Content Generation Platforms
  • Workflow Automation

FAQ

What AI models can I integrate with AgentRunner?
AgentRunner allows you to connect with your accounts to models like OpenAI, Claude, LLaMa & more.
Is AgentRunner suitable for teams?
Yes, AgentRunner is built for teams. You can collaborate with your team by adding members with different roles and comment on versions to streamline your workflow.
Is AgentRunner secure?
Yes, AgentRunner is GDPR compliant with encrypted API key storage and OAuth connections. It also offers two-factor authentication (2FA) for secure login.

Pricing

Pros & Cons

Pros
  • Simplifies AI app development with visual tools
  • Offers prompt chaining and versioning
  • Supports easy integration with various AI models
  • Provides API access for prompt deployment
  • Enables team collaboration and secure access
  • Cloud-based for accessibility and reliability
Cons
  • Cloud-only solution may not suit all users
  • Reliance on external AI models for functionality
  • Potential learning curve for visual programming interface