Integrations

Power AI in your app or website without building the agent stack yourself.

Use KriyaOS custom agents through APIs while we handle the hard parts behind them: setup, knowledge, publishing, credentials, and runtime infrastructure.

const response = await fetch(
  "https://api.kriyaos.com/agents/:agentId/chat",
  {
    method: "POST",
    headers: {
      Authorization: `Bearer ${apiKey}`,
    },
    body: JSON.stringify({
      messages,
      stream: true,
    }),
  },
);
What KriyaOS saves you from building

Add AI to your product without first becoming an AI platform team.

Your app owns the user experience. KriyaOS owns the agent layer underneath it.

Agent setup

Configure prompts, models, tools, and session behavior once in KriyaOS instead of rebuilding that control plane inside your own app.

Knowledge base

Upload documents or crawl websites, attach knowledge to agents, and keep the answers maintainable without shipping your own RAG admin stack.

Publishing and versions

Draft, test, publish, and update agents from one place while your product keeps calling the same integration surface.

Runtime and security

Use secure APIs, workspace credentials, and managed runtime behavior without building the plumbing from scratch.

Where it fits

Keep your interface. Let KriyaOS power the intelligence behind it.

This is for teams who want AI inside their product, but do not want to spend engineering cycles rebuilding agents, retrieval, publishing, and operations from zero.

AI assistant inside a SaaS product
Support or onboarding agent inside your website
Knowledge-grounded copilot for customers or users
Custom workflow agent behind your own interface
How it works

Build once in KriyaOS. Use it wherever your product needs AI.

01

Create the custom agent

Define prompts, models, tools, and the knowledge it should use inside KriyaOS.

02

Connect your app

Call the published agent through KriyaOS APIs from your frontend or backend.

03

Keep shipping

Update the agent, knowledge, or integrations in KriyaOS without rebuilding the AI layer inside your product.

If your product needs AI, you do not need to build the whole AI stack first.

Create the custom agent in KriyaOS, integrate through APIs, and spend your engineering time on the product only you can build.