Inkeep Agents
With Inkeep, you can build and ship AI Agents with a No-Code Visual Builder or TypeScript SDK. Agents can be edited in code or no-code with full 2-way sync, so technical and non-technical teams can create and manage their Agents in a single platform. To get started, see the docs.
Two ways to build
No-Code Visual Builder
A no-code drag-and-drop canvas designed to allow any team to create and manage teams of Agents visually.
TypeScript Agents SDK
A code-first approach for building and managing multi-agent systems. Engineering teams to build with the tools and developer experience 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: your technical and non-technical teams can edit and manage Agents in either format and switch or 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 customer support, technical docs, or in-app product copilot
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 streamlining 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 credentials 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 to Vercel and using Docker
For a full overview, see the Concepts guide.
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.
: 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 .
: Visual Builder web interface for creating and managing Agents. Writes to the . agents-sdk : TypeScript SDK ( @inkeep/agents-sdk ) for declaratively defining Agents and custom tools in code. Writes to agents-manage-api .
: TypeScript SDK ( ) for declaratively defining Agents and custom tools in code. Writes to . agents-cli : Includes various handy utilities, including inkeep push and inkeep pull which sync your TypeScript SDK code with the Visual Builder.
: Includes various handy utilities, including and 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.
: 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.
Underneath the hood, the framework uses the Vercel AI SDK for interfacing with LLM providers. The agents-sdk / agents-manage-api share many concepts with Vercel's 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: you can 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.
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