agents

# 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](https://docs.inkeep.com) or [1-minute quick start](https://docs.inkeep.com/get-started/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. <img src="agents-docs/public/gifs/drag-n-drop.gif" alt="Visual Builder Demo" width="100%" style="border-radius: 10px" /> ### TypeScript Agents SDK A code-first framework so engineering teams can build with typesafety, intellisense, CI/CD, and the tools they expect. ```typescript 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](https://docs.inkeep.com/concepts) guide. Interested in a managed platform? Sign up for the [Inkeep Cloud waitlist](https://inkeep.com/cloud-waitlist) or learn about [Inkeep Enterprise](https://inkeep.com/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. Under the hood, the framework uses the [Vercel AI SDK](https://ai-sdk.dev/docs/introduction) for interfacing with LLM providers, so it's compatible with Vercel's [`useChat`](https://ai-sdk.dev/docs/ai-sdk-ui) hook and other AI primatives. ## License and Community The Inkeep Agent Framework is licensed under the **Elastic License 2.0** ([ELv2](https://www.elastic.co/licensing/elastic-license)) subject to **Inkeep's Supplemental Terms** ([SUPPLEMENTAL_TERMS.md](https://github.com/inkeep/agents/blob/main/SUPPLEMENTAL_TERMS.md)). This is a [fair-code](https://faircode.io/), 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](https://docs.inkeep.com/community/contributing/overview). [Join our community](https://docs.inkeep.com/community/inkeep-community) to get support, stay up to date, and share feedback.