Goal
Define objectives
Plan
Create strategy
Question/Verify
Validate approach
Act
Execute actions
Get Feedback
User input & results
Observe
Monitor outcomes
Improve
Optimize & learn
Repeat
Continuous cycle
Step 01: Identify the gap
Where Is The Gap In Your Business?
Most businesses have processes that still depend too much on people. They are repetitive, slow, and hard to scale. The gap looks different depending on where you are.
SaaS | Product
Do you have an existing product?
- Users still do too much manually inside your app
- Support tickets pile up for questions your product could answer
- Repetitive workflows require human involvement every time
Enterprise | Large Org
Do you run complex operations?
- Thousands of customer queries handled by an overstretched team
- Knowledge locked across systems and documents
- Cross-team hand-offs are slow and error-prone
Building Something New
Do you have a
product idea?
- You see an opportunity for an AI-powered service in your industry
- You're not sure which AI technology to commit to
- Building from scratch feels like months before anything reaches users
- You want to build a prototype/proof-of-concept quickly without having to invest too much on it
Step 02: Meet the solution
An AI Agent Doesn't Just Answer,
It Gets Things Done.
Step 03: Agent Kernel
Agent Kernel Is The Engine That Powers It At Scale To Run Compliant AI Agents
For Your Business
Agent Kernel is like the Operating System for AI agents.
You don't need to understand how an operating system works to use the Internet. It runs behind the scenes, powering websites, servers, and cloud systems.
Agent Kernel does the same thing for AI agents. It's a powerful platform that runs your AI agents in the background, handling all the complex infrastructure so that you focus on building the features that matter to your business.
Days, not months
No one must build agent infrastructure from scratch. Go from idea to enterprise-grade working scalable AI agents in days.
Works where you are
Pre-built messaging connectors such as Slack, WhatsApp, Instagram, Telegrams, Gmail, and Teams. No custom wiring required.
Runs on any cloud
Deploy on AWS, GCP, Azure, or your own on-prem Docker. No vendor lock-in. You stay in control of your data and infrastructure.
Step 04: See it in action
See Your Agent Kernel In Action
Curious what your agent can actually do? Here are some real starting points across industries.
Order Management Agent
Website / WhatsApp / Instagram
The Problem
Why it's painful
Customers ask "where's my order?" across your website, WhatsApp, and Instagram - and your team copies tracking numbers between systems all day.
The Agent
What it actually does
The agent connects to the order system, shipping carriers, and payment gateway. It looks up orders in real time, tracks shipments, processes returns or exchanges, triggers refunds, and keeps the conversation memory across communication channels and sessions.
Why Agent Kernel
The Agent Kernel advantage
One agent can serve many channels with built-in session memory, guardrails, and cloud deployment flexibility.
Step 05: How it works
Agent Kernel Is The Engine That Powers It All
You write your AI agent's logic. Agent Kernel handles everything else: the infrastructure, the cloud deployment, memory, knowledge bases, hooks, observability & traceability, LLM cost tracking, and the integrations so your agent is live and talking to real users in days.
Your Agent Logic
OpenAILangGraphCrewAIGoogle ADKSmolagentsLiveKit
Agent Kernel Runtime
Framework Adapters
Session & Memory
Execution Nodes
Knowledge Bases
Messaging
Observability
Guardrails
Integrations
AWS Lambda
AWS ECS
Azure Functions
Google Apps
Docker
✦Continue Exploring
Go deeper with Agent Kernel
Explore the platform capabilities and real-world workflows behind secure, production-ready AI agents.
Ready to Ship Your
First Agent?
Free, open-source, Apache 2.0. No licensing costs, no vendor lock-in. Join hundreds of developers building production AI agents with Agent Kernel.
Ask AI