Traditional vs. Agent Kernel
Traditional
3 - 6 months
Agent Kernel
Days
Time saved
~90%
Real World Use Cases
- 01
Agentic AI Assisted Market Surveillance
A scalable surveillance system for monitor real-time order and trade feeds of a carbon credit market. Agent Kernel enables, AI agents to monitor orders and flag potential/suspicious trades which violate regulations.
- 02
AI First SDLC
A team of Agents looking at various artifacts at each phase of the SDLC and orchestrate humans to unblock for a smooth transition. Can overcome the speedbumps created by the weakest links (i.e., humans) in the SDLC chain.
- 03
Troubleshooter Agent
A system troubleshooter (L1 to L3) which can give a comprehensive issue analysis, root-cause determination and resolution of a complex, distributed trading system. Responds to a system alert by looking at application logs, resource and related metrics. AI agent is able to improve the issue resolution time 20x.
Why Teams Choose Agent Kernel
What makes Agent Kernel different from rolling your own or using other platforms.
Framework-Neutral
The only runtime that lets you bring inswap between agents written from OpenAI Agents, CrewAI, LangGraph, and Google ADK, Smolagents, LiveKit with near-zero code change - and run all of them simultaneously in a single runtime.
Multi-Cloud Native
Same agent code deploys to AWS, Azure, and GCP out of the box. No other AI agent runtime offers this out of the box.
Full Lifecycle
Build → Test → Deploy → Monitor. One tool that takes you from a Python script to a multi-AZ production cluster.
Lightweight
A thin adapter layer, not a heavy abstraction. Bring your existing agent code and wrap it in minutes, not days.
Production-Ready
Fault tolerance, guardrails, observability, and session management built in from day one - not bolted on later.
Built-in Messaging
Slack, WhatsApp, Instagram, Telegram, Messenger, Gmail - ship working integrations on day one, not months later.
Open-Source
No usage fees, no proprietary lock-in. Community-driven with full codebase access - fork it, extend it, contribute back.
Protocol Support
MCP and A2A server modes for future-proof agent architectures and full ecosystem compatibility out of the box.
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.
