--- title: "aiac vs kapitan" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gofireflyio-aiac-vs-kapicorp-kapitan" tools: ["gofireflyio-aiac", "kapicorp-kapitan"] --- # aiac vs kapitan *GraphCanon updated Sep 20, 2026* ## Verdict Pick aiac if aiac, an IaC generator for AI infrastructure, is built in Go and supports Terraform and Pulumi; pick kapitan if kapitan offers inventory-driven model, secrets management, support for multiple infrastructure systems, including Kubernetes and Terraform. [aiac](https://github.com/gofireflyio/aiac) reports 3.8k GitHub stars, 296 forks, and 3 open issues, last pushed Mar 24, 2026. [kapitan](https://kapitan.dev) has 1.9k stars, 214 forks, and 155 open issues, last pushed Sep 9, 2026. Figures are from public GitHub metadata via [aiac's repository](https://github.com/gofireflyio/aiac) and [kapitan's repository](https://github.com/kapicorp/kapitan). | | [aiac](/tools/gofireflyio-aiac.md) | [kapitan](/tools/kapicorp-kapitan.md) | | --- | --- | --- | | Tagline | Artificial Intelligence Infrastructure-as-Code Generator | Generic templated configuration management for Kubernetes, Terraform | | Stars | 3,788 | 1,924 | | Forks | 296 | 214 | | Open issues | 3 | 155 | | Language | Go | Python | | Adopt for | aiac, an IaC generator for AI infrastructure, is built in Go and supports Terraform and Pulumi. | kapitan offers inventory-driven model, secrets management, support for multiple infrastructure systems, including Kubernetes and Terraform. | | Persona | - | - | | Runtime | - | - | | License | aiac uses the Apache-2.0 license, allowing for permissive free usage and modification with attribution required. | Apache-2.0 | | Categories | Developer Tools, LLM Frameworks | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aiac](/tools/gofireflyio-aiac.md) | [kapitan](/tools/kapicorp-kapitan.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 179d | 9d | | Open issues (now) | 3 | 155 | | Stars delta | +3 (30d) | +1 (30d) | | Open issues delta | +1 (30d) | +2 (30d) | | Full report | [trust report](/tools/gofireflyio-aiac/trust.md) | [trust report](/tools/kapicorp-kapitan/trust.md) | ## Decision facts: aiac - **Hosting:** self hosted - Deployment methods include installation through Homebrew taps, Docker containers, Go install package management, and direct compilation from source. - **Pricing:** freemium - aiac is free for use under the Apache-2.0 license with no subscription fees; however, any third-party services like Amazon Bedrock or OpenAI might incur additional costs. - **Requirements:** Min 1 GB RAM; Requires Docker; Requires Go for local builds and installations through Homebrew taps.; Supports Docker, making it easy to deploy across multiple environments without needing full Go setup. - **Adopt for:** aiac, an IaC generator for AI infrastructure, is built in Go and supports Terraform and Pulumi. - **License detail:** aiac uses the Apache-2.0 license, allowing for permissive free usage and modification with attribution required. ## Decision facts: kapitan - **Adopt for:** kapitan offers inventory-driven model, secrets management, support for multiple infrastructure systems, including Kubernetes and Terraform. ## Choose when ### Choose aiac if… - aiac is primarily Go; kapitan is Python. - Deployment methods include installation through Homebrew taps, Docker containers, Go install package management, and direct compilation from source. - Pricing: aiac is free for use under the Apache-2.0 license with no subscription fees; however, any third-party services like Amazon Bedrock or OpenAI might incur additional costs.. - Requirements: Min 1 GB RAM; Requires Docker; Requires Go for local builds and installations through Homebrew taps.; Supports Docker, making it easy to deploy across multiple environments without needing full Go setup.. - Tags unique to aiac: ai, amazon-bedrock, chatgpt, iac. - Also covers LLM Frameworks. - - Use aiac when you are working on AI projects that require IaC tools like Terraform or Pulumi, and want to manage your infrastructure as code using the Go language. ### Choose kapitan if… - kapitan is primarily Python; aiac is Go. - Tags unique to kapitan: aws-kms, declarative, devops, docker. - Integrating with existing workflows based on Helm, Kustomize, or CUE ## When NOT to use aiac - - Avoid aiac if your project is not based on Go or does not require the integration of Terraform and Pulumi for managing infrastructure. - - Do not use aiac in scenarios where you are working strictly within an environment that prefers languages other than Go, such as Python, or requires proprietary licenses. ## When NOT to use kapitan - Lack of requirement for managing secrets using multiple protocols - Workflow does not benefit from integrating Helm, Kustomize, or CUE ## Common questions ### What is the difference between aiac and kapitan? aiac: Artificial Intelligence Infrastructure-as-Code Generator. kapitan: Generic templated configuration management for Kubernetes, Terraform. See the comparison table for live GitHub stats and shared categories. ### When should I choose aiac over kapitan? Choose aiac over kapitan when aiac is primarily Go; kapitan is Python; Deployment methods include installation through Homebrew taps, Docker containers, Go install package management, and direct compilation from source; Pricing: aiac is free for use under the Apache-2.0 license with no subscription fees; however, any third-party services like Amazon Bedrock or OpenAI might incur additional costs.; Requirements: Min 1 GB RAM; Requires Docker; Requires Go for local builds and installations through Homebrew taps.; Supports Docker, making it easy to deploy across multiple environments without needing full Go setup.; Tags unique to aiac: ai, amazon-bedrock, chatgpt, iac; Also covers LLM Frameworks; - Use aiac when you are working on AI projects that require IaC tools like Terraform or Pulumi, and want to manage your infrastructure as code using the Go language. ### When should I choose kapitan over aiac? Choose kapitan over aiac when kapitan is primarily Python; aiac is Go; Tags unique to kapitan: aws-kms, declarative, devops, docker; Integrating with existing workflows based on Helm, Kustomize, or CUE. ### When should I avoid aiac? - Avoid aiac if your project is not based on Go or does not require the integration of Terraform and Pulumi for managing infrastructure. - Do not use aiac in scenarios where you are working strictly within an environment that prefers languages other than Go, such as Python, or requires proprietary licenses. ### When should I avoid kapitan? Lack of requirement for managing secrets using multiple protocols Workflow does not benefit from integrating Helm, Kustomize, or CUE ### Is aiac or kapitan more popular on GitHub? aiac has more GitHub stars (3,788 vs 1,924). Stars measure visibility, not whether either tool fits your constraints. ### Are aiac and kapitan open source? Yes - both are open-source projects on GitHub (aiac: Apache-2.0, kapitan: Apache-2.0). ### Where can I find alternatives to aiac or kapitan? GraphCanon lists graph-backed alternatives at [aiac alternatives](/tools/gofireflyio-aiac/alternatives) and [kapitan alternatives](/tools/kapicorp-kapitan/alternatives) ([aiac markdown twin](/tools/gofireflyio-aiac/alternatives.md), [kapitan markdown twin](/tools/kapicorp-kapitan/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/gofireflyio-aiac-vs-kapicorp-kapitan.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aiac or kapitan? aiac: Slowing. kapitan: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for aiac and kapitan? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aiac trust report](/tools/gofireflyio-aiac/trust); [kapitan trust report](/tools/kapicorp-kapitan/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gofireflyio-aiac`](/api/graphcanon/graph?tool=gofireflyio-aiac) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_