Agyn runs AI agents on demand to cut idle infrastructure
Agyn is an open-source platform for running AI agents in real services. It uses serverless execution, so work can run only when needed instead of keeping machines on all the time. It also defines agents as code and uses zero-trust access to limit what each agent can do.
Key points
- This is useful for teams that need to run many AI agents reliably.
- Serverless execution can reduce idle infrastructure costs, separate from token costs.
- The platform runs on Kubernetes and manages agent setup with Terraform-style code.
- Zero-trust access helps keep each agent’s permissions narrow.
Quick term guide
- open-source
- Software whose code is shared publicly so others can inspect, use, or change it.
- serverless execution
- A way to run work only when needed instead of keeping servers running all day.
- zero-trust access
- A security approach where nothing is trusted by default and each part gets only the access it needs.
- zero-trust
- A security approach where no user or device is automatically trusted — everyone must verify their identity every time they access a system.
- infrastructure
- The technical systems that keep a website or app running.
- token costs
- Token costs are the fees paid for the text an AI model reads and writes.
- token cost
- The money or usage spent when sending text to an AI model and getting text back.
- Kubernetes
- A powerful but complex tool for running many apps across servers.