Agent-Kit

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AgentKit is an AI Agents & Automation tool that helps developers build multi-agent networks in TypeScript. It provides deterministic routing and rich tooling via MCP, enabling fault-tolerant AI agent orchestration.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is agent-kit?

AgentKit is an open-source framework designed for TypeScript developers to build multi-agent networks with deterministic routing and rich tooling via MCP. It offers a unique approach to agent orchestration, allowing for both code-based and LLM-based routing, ensuring control over execution flow. Key concepts include Agents (LLM calls with prompts, tools, and MCP), Networks (for agent collaboration with shared State), State (combining conversation history with typed state machines for routing), and Routers (autonomy from code-based to LLM-based orchestration). The framework integrates with the Inngest Dev Server for local development and provides built-in tracing for debugging and optimization. It supports multiple model providers and is built to create fault-tolerant agents when deployed to the cloud.

Best used for

Ideal for developers who need to build complex, collaborative AI agent networks and ensure predictable execution. Especially valuable for creating fault-tolerant AI applications with rich tooling and integrating various model providers, offering both code-based and LLM-based routing strategies.

Common actions

build AI agents

orchestrate AI workflows

manage multi-agent systems

implement deterministic routing

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Capabilities

Key features

Multi-agent network creation
Deterministic routing
State-based routing
MCP integration
Built-in tracing
Multiple model providers
TypeScript support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is MCP and how does AgentKit use it?

MCP stands for Multi-Agent Communication Protocol. AgentKit leverages MCP for rich tooling, allowing agents to integrate external tools and services seamlessly. This enables agents to perform actions like interacting with databases or other APIs, enhancing their capabilities within the network.

How does AgentKit ensure deterministic routing in multi-agent networks?

AgentKit achieves deterministic routing through its State-based routing mechanism. A shared State, combining conversation history and a typed state machine, is accessible to all agents and the router. This allows for predictable orchestration, from code-based rules to LLM-based autonomous decisions.

Can AgentKit be used for both local development and cloud deployment?

Yes, AgentKit is designed for both. It integrates with the Inngest Dev Server for local development, providing a robust environment for building and testing agents. When deployed to the cloud, its orchestration engine ensures that your agents are fault-tolerant and reliable.

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