Traditional vs. With Agent Kernel
The same production-ready deployment, in a fraction of the time.
Established Software Companies
Services / Dev Houses
Software Companies Enhancing Products
SaaS / Enterprise Software
AI Startups
Early to Growth Stage
Domain Experts
Finance, Healthcare, Legal, Education…
Why Teams Choose Agent Kernel
What makes Agent Kernel different from rolling your own or using other platforms.
Framework-Agnostic
The only runtime that lets you swap between OpenAI, CrewAI, LangGraph, and Google ADK with near-zero code change — and run all of them simultaneously in a single runtime.
Multi-Cloud Native
Same agent code deploys to AWS and Azure. Unique in the market — no other AI agent runtime offers this out of the box.
Full Lifecycle
Build → Test → Deploy → Monitor. One tool covers the entire agent lifecycle, from a Python script to a multi-AZ production cluster.
Lightweight
A thin adapter layer, not a heavy abstraction. Minimal learning curve, minimal overhead. Bring your existing agent code and wrap it in minutes.
Production-Ready from Day One
Fault tolerance, guardrails, observability, and session management are not afterthoughts — they're built in and ready from your first deployment.
Built-in Messaging
Slack, WhatsApp, Instagram, Telegram, Messenger, Gmail integrations out of the box. Reach users on day one, not after months of integration work.
Open-Source
Apache 2.0 licensed. No usage fees, no proprietary lock-in, community-driven. Full access to the codebase — fork it, extend it, contribute back.
Protocol Support
MCP (Model Context Protocol) server and A2A (Agent-to-Agent) server modes for future-proof agent architectures and ecosystem compatibility.
Get started in minutes — it's free and open-source.
Apache 2.0 license. No usage fees. No vendor lock-in. Just install, build, and ship.