Build AI Agents with a No-Code Visual Builder or TypeScript SDK. Agents can be edited in either with full 2-way sync, so technical and non-technical teams can create and manage Agents in one platform.
Get started with the docs or 1-minute quick start.
A drag-and-drop canvas so any team can create and own the Agents they care about.
A code-first framework so engineering teams can build with typesafety, intellisense, CI/CD, and the tools they expect.
import { agent, subAgent } from "@inkeep/agents-sdk";
import { consoleMcp } from "./mcp";
const helloAgent = subAgent({
id: "hello-agent",
name: "Hello Agent",
description: "Says hello",
canUse: () => [consoleMcp],
prompt: `Reply to the user and console log "hello world" with fun variations like h3llo world`,
});
export const basicAgent = agent({
id: "basic-agent",
name: "Basic Agent",
description: "A basic agent",
defaultSubAgent: helloAgent,
subAgents: () => [helloAgent],
});The Visual Builder and TypeScript SDK are fully interoperable: technical and non-technical teams can edit and manage Agents in either format and collaborate with others at any time.
Inkeep Agents can operate as real-time AI Chat Assistants, for example:
- a customer experience agent for help centers, technical docs, or in-app experiences
- an internal copilot to assist your support, sales, marketing, ops, and other teams
Agents can also be used for AI Workflow Automation like:
- Creating and updating knowledge bases, documentation, and blogs
- Updating CRMs, triaging helpdesk tickets, and tackling repetitive tasks
Inkeep Open Source includes:
- A Visual Builder & TypeScript SDK with 2-way sync
- Multi-agent architecture to support teams of agents
- MCP Tools with credential management
- A UI component library for dynamic chat experiences
- Triggering Agents via MCP, A2A, & Vercel SDK APIs
- Observability via a Traces UI & OpenTelemetry
