

Toolkit for building AI agents
What Is AgentKit
AgentKit is a versatile framework that enables developers, teams, and enterprises to design, deploy, and scale AI agents, from simple single-model assistants to complex multi-agent systems. It supports major AI models, integrates tools and workflows, and puts orchestration, routing and state-management at the centre of agent design. Built to reduce the complexity of agent creation, AgentKit empowers you to move from prototype to production with fewer moving parts.
Core Capabilities
AgentKit offers composable primitives for building agents (such as system prompts, tools, routers, and state management) that work with models from providers like OpenAI, Anthropic and Google. It allows you to stitch together networks of agents who collaborate, share context, and call tools, enabling workflows like “agent A analyzes data, agent B writes a summary, agent C triggers an action.” The framework logs inputs/outputs, supports versioning and monitoring, and integrates with UI-streaming for live interfaces. With support for tool-building, connector management, and agent orchestration, AgentKit is designed to power agentic applications at scale.