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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/agentsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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 toagents-api. - agents-cli: Includes various handy utilities, including
inkeep pushandinkeep pullwhich 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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