Krieon gives you a production-grade runtime for AI agents — built from the ground up for orchestration, not retrofitted from a chat framework. Build, deploy, and monitor swarms of agents that actually do work in the real world.
Compose agents into swarms. Define routing, retries, fallbacks, and escalation paths visually or in code.
A clean SDK in Python and TypeScript. Local sandbox. Hot-reload. Ship an agent to production in minutes.
Every invocation traced. Token usage, latency, cost, and decision paths — visible end to end.
Not a demo. Not a wrapper. An infrastructure layer designed around how agents actually fail in the wild.
Define graphs of agents with conditional routing, parallel branches, and human-in-the-loop checkpoints. Reusable across projects.
Every run is captured. Replay a swarm against any prior state to debug, audit, or A/B test agent behavior.
Sandboxed code execution, browser tooling, file I/O, and HTTP — all permissioned per agent, not per request.
Hard ceilings per agent. Per-team budgets. Automatic fallbacks when a model is slow or down.
Bring any model. Mix and match across agents. Route by capability, cost, or compliance — not vendor lock-in.
Install with pip install krieon or npm i krieon. Ship locally, deploy with krieon deploy.