AgentKit vs Flowise

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.

Flowise is an open-source, low-code platform that enables developers and businesses to build AI agents, chatbots, and workflows visually.

It provides a drag-and-drop interface for connecting large language models, vector databases, APIs, and tools, reducing the need for complex coding.

Flowise makes it possible to design retrieval-augmented generation (RAG) systems, customer support bots, and automation workflows quickly and efficiently.

Its modular approach allows users to customize agent behaviors, memory, and integrations. Flowise also supports deployment flexibility, making it suitable for prototypes as well as enterprise-grade applications.