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AgentKit by Inngest

A TypeScript library to create and orchestrate AI Agents.

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Introduction

AgentKit by Inngest

AgentKit is a powerful TypeScript framework designed to build and orchestrate AI Agents, ranging from simple model inference calls to complex multi-agent systems with integrated tools. With orchestration at its core, AgentKit empowers developers to create, test, and deploy reliable AI applications at scale.

Key Features
  • Simple and Composable Primitives: Build anything from basic Support Agents to semi-autonomous Coding Agents.
  • Multi-Model Support: Compatible with OpenAI, Anthropic, Gemini, and all OpenAI API-compatible models.
  • Powerful Tools API: Includes support for MCP as tools to enhance agent capabilities.
  • Seamless Integrations: Works with popular AI libraries and products like E2B, Browserbase, and Smithery.
  • UI Streaming: Stream live updates to your user interface for dynamic interactions.
  • Local Development Tools: Offers live traces and input/output logs when used with the Inngest Dev Server.
Use Cases
  • Developing single-agent systems for specific tasks like customer support or content summarization.
  • Creating networks of agents that collaborate on complex workflows, such as code analysis or autonomous bug solving.
  • Building dynamic AI workflows with customizable runtime orchestration.
Unique Selling Points

AgentKit stands out with its focus on orchestration, allowing developers to compose intricate systems of agents that work together using shared state and tools. Its extensive model compatibility and integration with cutting-edge AI tools make it a versatile choice for modern AI application development.

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