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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.

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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 a single platform.

Two ways to build

No-Code Visual Builder

A no-code canvas so any team can create and own the Agents they care about.

Visual Builder Demo

TypeScript Agents SDK

A code-first framework so engineering teams can build with the tools they expect.

import { agent, subAgent } from "@inkeep/agents-sdk";

const helloAgent = subAgent({
  id: "hello-agent",
  name: "Hello Agent",
  description: "Says hello",
  prompt: 'Only reply with the word "hello", but you may do it in different variations like h3110, h3110w0rld, h3110w0rld! etc...',
});

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. For cloud hosting, sign up to get notified when available.

Architecture

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

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

Under the hood, the framework uses the Vercel AI SDK for interfacing with LLM providers. The agents-sdk/ agents-manage-api share many concepts with the AI SDK, and agents-run-api outputs a data stream compatible with Vercel's useChat and AI Elements primitives for custom UIs.

License and Community

The Inkeep Agent Framework is licensed under the Elastic License 2.0 (ELv2) subject to Inkeep's Supplemental Terms (SUPPLEMENTAL_TERMS.md). This is a fair-code, source-available license that allows broad usage while protecting against certain competitive uses.

Inkeep is designed to be extensible and open: use the LLM provider of your choice, use Agents via standard protocols, and easily deploy and self-host Agents in your own infra.

If you'd like to contribute, follow our contribution guide.

Follow us to stay up to date, get help, and share feedback.

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