Agentflow vs AgentKit

Agentflow is an AI agent orchestration platform designed to help developers and businesses create, deploy, and manage autonomous AI workflows with minimal complexity.

It provides a visual, drag-and-drop interface for building agent pipelines, allowing users to connect large language models, APIs, and business tools without heavy coding.

Agentflow emphasizes simplicity and scalability, making it accessible for non-technical teams while still powerful enough for developers.

Its framework supports task delegation, multi-step reasoning, and tool integration, enabling AI agents to perform complex actions such as research, report generation, or workflow automation.

AgentKit is a developer toolkit by Inngest designed to simplify the creation of AI agents that interact with APIs and event-driven workflows.

It provides lightweight abstractions for integrating large language models into structured processes, enabling agents to handle real-world tasks such as scheduling, notifications, or workflow automation.

AgentKit emphasizes event-driven design, allowing developers to build agents that respond to triggers from apps, systems, or users.

Its framework supports modularity, making it easy to extend functionality or connect with other services.