We built the chassis we kept having to rebuild.
In 2023, the team behind Agent Chassis was building production AI agents at three different companies. The pattern was identical every time: two engineers, three weeks, building the same scaffolding — retries, state management, tool registration, auth, logging.
We got to week four and realized we had a functioning chassis and no agent yet. The agent's actual job — the thing that justified the project — hadn't been written.
We shipped the chassis as an internal library. Six months later, engineers at other companies started asking for it. We open-sourced it. Agent Chassis was born from that repo.
The framework is MIT-licensed. Self-host for free, forever. The Cloud tier exists for teams who'd rather pay $79/mo than manage Redis and log aggregation themselves.
AI agent development should feel like building a product, not maintaining infrastructure. The chassis layer — retries, state, auth, observability — is solved problem space. It should ship as a dependency, not as sprint work.
We believe in open-source infrastructure. The core framework will always be free and MIT-licensed. We make money on managed services for teams that want them, not by locking the primitives behind a paywall.
We believe production readiness is a first-class concern. A framework that makes demos easy but fails under load is a liability. Every default in Agent Chassis was set with production traffic in mind.
Get the frameworkThe chassis exists so you don't have to think about it. Good infrastructure disappears.
MIT-licensed core. No vendorlock. Run it anywhere, fork it freely, own your stack.
Every config default is what you'd want at 10K requests/day. Not at localhost.
Free framework. Managed cloud when you're ready.
Get the framework