AgentKit vs Smolagents

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.

Smolagents is an open-source, lightweight framework designed for building small, efficient AI agents. Its philosophy emphasizes simplicity and modularity, enabling developers to create agents that perform specific tasks without the overhead of large frameworks.

Smolagents provides the core functionality needed for chaining prompts, managing memory, and integrating tools, while remaining easy to understand and extend.

This makes it especially appealing for developers and researchers experimenting with agent design, as well as for production use cases where minimalism and efficiency are priorities.

The framework integrates smoothly with Python ecosystems and popular LLM providers, allowing quick setup and customization.