AI Agent Platform for Builders

Most teams underestimate what it takes to run AI agents in production. Models are the easy part. The work that actually consumes engineering time is everything around the model: conversation state, knowledge management, tool execution, evaluation, rate limiting, audit trails, multi-region deployment, and the dozens of integrations users expect on day one. ChatBotKit gives you all of that as a platform, so your team can focus on the product you are actually trying to build.

A Platform Built for Agentic AI

ChatBotKit is a complete agentic platform. It exposes the primitives engineers need - agents, datasets, skills, conversations, files, integrations - through a coherent API, a set of first-class SDKs, and a hosted runtime that scales with your traffic. You bring the product idea and the domain knowledge. The platform handles orchestration, persistence, and the operational glue.

Composable Agent Primitives

Agents in ChatBotKit are first-class objects with their own configuration, knowledge, tools, and memory. You compose them from smaller building blocks - datasets for retrieval, skills for tool use, abilities for actions on external systems, and templates for conversational behavior. The same primitives power a single embedded assistant and a fleet of agents serving millions of users.

SDKs for the Stack You Already Use

ChatBotKit ships SDKs for Node.js, React, Next.js, Go, a CLI for terminal workflows, and Terraform for infrastructure as code. Server-side libraries handle conversations, streaming, and orchestration. Client-side hooks and components plug straight into existing front-ends. Teams adopt the parts that fit their stack and ignore the rest.

Tools, Actions, and the Model Context Protocol

Agents become useful when they can act. ChatBotKit supports custom tools, action chaining, and native MCP integration so agents can reach into your APIs, internal services, and third-party systems. Define a tool once and any agent on the platform can use it - with auth, rate limits, and audit logs handled centrally.

Production-Grade Operations

The platform includes the operational surface area you would otherwise build yourself: usage reports, configurable limits, regional deployments including the EU region, and a sandbox for safe experimentation. Models can be swapped without rewriting agents. Observability is built in from the first request.

Summary

ChatBotKit is the platform layer for teams building real AI agent products. It absorbs the infrastructure work, exposes clean primitives through SDKs and APIs, and lets you ship agents that behave well in production from day one. Build your product on top of a foundation designed for agentic AI from the ground up.