Show HN: Kastor – Terraform-style specs for AI agents
Kastor is a new open-source tool designed to manage AI agents using a declarative, Terraform-style configuration. It allows developers to define, version, and deploy AI agents across various platforms using a unified spec.
Kastor is "Terraform for AI agents." Agents today are defined imperatively inside frameworks (LangGraph, CrewAI) or clicked together in platform UIs (OpenAI Assistants, Bedrock Agents) — there is no vendor-neutral, versionable, reviewable source of truth. Kastor provides one: a typed, declarative spec ( .agent , .tool , .prompt files in HCL) and a Go toolchain with two paths — kastor build generates runnable projects for target frameworks, and kastor plan / kastor apply reconcile agents as long-lived resources on hosted platforms, with state, diffs, and drift detection.
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