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Agents

Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.

Install

$git clone https://github.com/inkeep/agents

Install command taken from the project's README or registry entry. Always review code before running it.

Inkeep Agents

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.

Two ways to build

No-Code Visual Builder

A drag-and-drop canvas so any team can create and own the Agents they care about.

TypeScript Agents SDK

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.

Use Cases

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

Platform Overview

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
  • Easy deployment using Vercel or Docker

For a full overview, see the Concepts guide.

Interested in a managed platform? Sign up for the Inkeep Cloud waitlist or learn about Inkeep Enterprise.

Architecture

The Inkeep Agent Platform is composed of several key services and libraries that work together:

  • agents-api: An API that handles configuration of Agents, Sub Agents, MCP Servers, Credentials, and Projects with a REST API. Additionally, it exposes Agent execution and evaluation. The API tracks conversation state and emits OTEL traces.
  • agents-manage-ui: Visual Builder web interface for creating and managing Agents. Writes to the agents-api.
  • agents-sdk: TypeScript SDK (@inkeep/agents-sdk) for declaratively defining Agents and custom tools in code. Writes to agents-api.
  • agents-cli: Includes various handy utilities, including inkeep push and inkeep pull which sync your TypeScript SDK code with the Visual Builder.
  • agents-ui: A UI component library of chat interfaces for embedding rich, dynamic conversational AI experiences in web apps.

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