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What Is KriyaOS? AI Agents for Business

KriyaOS Documentation

Build, test, and improve AI agents with confidence.

KriyaOS helps you create agents, give them the right knowledge, test how they respond, and decide when they are ready to go live.

What You Can Do In KriyaOS

KriyaOS is a place to create, test, and publish AI agents for real work.
If you are new here, the simplest way to think about KriyaOS is:
KriyaOS helps you turn an idea like “I want an assistant that answers questions, helps customers, or represents my business” into something you can actually configure and use.
With KriyaOS, you can:
  • create an agent for a business or workflow
  • describe how that agent should behave
  • add knowledge the agent can use when answering
  • test the draft before it goes live
  • publish a version that other people can use
  • support follow-up conversations through channels like WhatsApp when appropriate

Choose Your Path

Pick the path that matches what you want to do first.
Path 1: Getting Started
Best if you are new to KriyaOS and want the core flow.
Path 2: Business Use
Best if you want to see practical business value and go live.
Path 3: Improving Results
Best if you already have an agent and want better answers.

Explore The Docs

Kriya Agents in Action

Real-world scenarios of how businesses use KriyaOS to automate interactions and improve customer experience.

What An Agent Means Here

In KriyaOS, an agent is your AI assistant.
It is not just a chat box. It includes:
  • a name and purpose
  • instructions for how it should respond
  • the model it uses
  • any knowledge you connect to it
  • a draft version and, when you are ready, a live version

If you want the full explanation, read What Is an Agent?.

Suggested Path

If you are new to KriyaOS, this is a strong place to begin:
  1. How to Create an Agent
  2. Draft vs Published
  3. Adding Knowledge
  4. Testing Your Agent

What These Docs Focus On Right Now

This docs site is still intentionally focused.
Right now, it is designed to help users move through the most important early journey:
create → understand → add knowledge → test → publish