AgentKit vs CrewAI

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.

CrewAI is an AI framework built for creating teams of collaborative agents that can work together to achieve complex goals.

Instead of relying on a single large language model to handle everything, CrewAI allows developers to assign specialized roles to multiple agents, each with distinct tasks and responsibilities.

These agents can communicate, delegate work, and combine outputs to deliver more accurate and comprehensive results.

CrewAI supports flexible configurations, making it possible to design agent “crews” for workflows such as research, code generation, data analysis, or customer support.