GoKawiilKastor
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.
The full design lives in SPEC.md.
Status
Kastor is an early proof of concept.
Working today:
parse .agent , .tool , .prompt , and kastor.hcl
, , , and validate references and prompt variables
build runnable LangGraph projects
examples: weather agent, content scheduler agent
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