AgentRunner is a cloud-based AI development platform tailored for prompt engineers and AI application developers. It’s designed to support individuals and small to medium-sized teams in creating, testing, managing, and deploying AI-powered workflows and applications. With a strong focus on visual design and modular workflow assembly, AgentRunner offers a user-friendly alternative to coding-intensive AI integrations. Key benefits include rapid iteration, simplified deployment, and strong model-agnostic capabilities for experimenting across AI providers like OpenAI, Claude, and LLaMa.

What are the main features of AgentRunner?

Visual programming for AI workflows

AgentRunner features a node-based editor that enables users to visually design AI applications. This visual interface supports:

• Chaining of multiple AI prompts into complex workflows

• Manipulation of input/output data

• Integration of external APIs
  This approach reduces the need for custom scripting, making it easier to conceptualize and implement advanced AI logic.

Centralized prompt management

The platform offers a central workspace for storing and managing prompts. Users can:

• Edit prompts in one location

• Organize prompts by use case or team

• Reduce redundancy and maintain consistency across projects

Version control for prompts

AgentRunner supports branching and versioning, allowing developers to:

• Create branches for testing, development, or production

• Automatically switch prompt versions on deployment

• Avoid code changes during rollout

This streamlines testing and reduces risk during updates.

Multi-model integration

Users can connect to multiple AI model providers directly within the platform. This includes:

• OpenAI

• Claude

• LLaMa and others

This flexibility allows developers to test and compare model performance seamlessly.

Prompt API access

Every prompt or prompt chain can be accessed via REST APIs, enabling:

• Integration into external systems or applications

• Cross-platform compatibility with sample code for major languages

• Use in backend automation or frontend features

Prompt testing and performance tracking

AgentRunner provides built-in tools for testing and monitoring prompts:

• Run prompts with test inputs

• Access logs of executions

• Track latency and other performance metrics

This aids in iterative improvement and debugging.

Team collaboration tools

Designed with teams in mind, AgentRunner includes:

• Role-based access control

• Shared workspaces

• Commenting on prompt versions

These features enhance coordination across development teams.

Cloud-based and always accessible

As a cloud-only platform, AgentRunner ensures:

• High availability for distributed teams

• No local setup or maintenance

• Scalability for increasing traffic

Why choose AgentRunner?

• Rapid development cycles: Build and deploy AI applications significantly faster using visual tools and modular components.

• High-quality outcomes: Use testing and logging to refine prompts, improving the accuracy and effectiveness of AI responses.

• No vendor lock-in: Easily experiment with different AI model providers to find the most suitable solution.

• Collaboration-first approach: Built-in tools for version control and team feedback enhance project efficiency.

• Purpose-built for AI: Unlike general workflow platforms, AgentRunner is specifically designed around the needs of AI developers and prompt engineers.