--- title: "aiac vs aici" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gofireflyio-aiac-vs-microsoft-aici" tools: ["gofireflyio-aiac", "microsoft-aici"] --- # aiac vs aici *GraphCanon updated Aug 20, 2026* ## Verdict Pick aiac if aiac, an IaC generator for AI infrastructure, is built in Go and supports Terraform and Pulumi; pick aici if builds real-time controllers using Wasm modules for directing LLM output securely and efficiently. [aiac](https://github.com/gofireflyio/aiac) reports 3.8k GitHub stars, 295 forks, and 2 open issues, last pushed Mar 24, 2026. [aici](https://github.com/microsoft/aici) has 2.1k stars, 85 forks, and 41 open issues, last pushed Jan 22, 2025. Figures are from public GitHub metadata via [aiac's repository](https://github.com/gofireflyio/aiac) and [aici's repository](https://github.com/microsoft/aici). | | [aiac](/tools/gofireflyio-aiac.md) | [aici](/tools/microsoft-aici.md) | | --- | --- | --- | | Tagline | Artificial Intelligence Infrastructure-as-Code Generator | Builds Controllers for Constrained LLM Output in Real-time Using Wasm | | Stars | 3,785 | 2,075 | | Forks | 295 | 85 | | Open issues | 2 | 41 | | Language | Go | Rust | | Adopt for | aiac, an IaC generator for AI infrastructure, is built in Go and supports Terraform and Pulumi. | Builds real-time controllers using Wasm modules for directing LLM output securely and efficiently. | | Persona | - | - | | Runtime | - | - | | License | aiac uses the Apache-2.0 license, allowing for permissive free usage and modification with attribution required. | MIT | | Categories | Developer Tools, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aiac](/tools/gofireflyio-aiac.md) | [aici](/tools/microsoft-aici.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 142d | 574d | | Open issues (now) | 2 | 41 | | Stars delta | Unknown | -2 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/gofireflyio-aiac/trust.md) | [trust report](/tools/microsoft-aici/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: aici - **Pricing:** freemium - **Requirements:** Requires a compatible LLM inference engine such as llama.cpp, HuggingFace Transformers, or rLLM. - **Adopt for:** Builds real-time controllers using Wasm modules for directing LLM output securely and efficiently. - **License detail:** MIT ## Choose when ### Choose aiac if… - aiac is primarily Go; aici is Rust. - License: aiac is Apache-2.0, aici is MIT. - 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: amazon-bedrock, chatgpt, iac, llms. - Also covers Developer Tools. - aiac ships Docker support for self-hosted deployment. - - 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 aici if… - aici is primarily Rust; aiac is Go. - License: aici is MIT, aiac is Apache-2.0. - Requirements: Requires a compatible LLM inference engine such as llama.cpp, HuggingFace Transformers, or rLLM.. - Tags unique to aici: inference, language-model, llm, llm-framework. - Also covers Inference & Serving. - When you need to implement secure, fast, and flexible real-time control over the output of large language models via WebAssembly modules. ## 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 aici - If your use case requires only constrained decoding without additional control logic, consider using LLGuidance library as a more specialized alternative. - Avoid if you are looking for a less experimental solution, since AICI is noted as a prototype and may not fit production scenarios requiring stability. ## Common questions ### What is the difference between aiac and aici? aiac: Artificial Intelligence Infrastructure-as-Code Generator. aici: Builds Controllers for Constrained LLM Output in Real-time Using Wasm. See the comparison table for live GitHub stats and shared categories. ### When should I choose aiac over aici? Choose aiac over aici when aiac is primarily Go; aici is Rust; License: aiac is Apache-2.0, aici is MIT; 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: amazon-bedrock, chatgpt, iac, llms; Also covers Developer Tools; aiac ships Docker support for self-hosted deployment; - 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 aici over aiac? Choose aici over aiac when aici is primarily Rust; aiac is Go; License: aici is MIT, aiac is Apache-2.0; Requirements: Requires a compatible LLM inference engine such as llama.cpp, HuggingFace Transformers, or rLLM.; Tags unique to aici: inference, language-model, llm, llm-framework; Also covers Inference & Serving; When you need to implement secure, fast, and flexible real-time control over the output of large language models via WebAssembly modules. ### 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 aici? If your use case requires only constrained decoding without additional control logic, consider using LLGuidance library as a more specialized alternative. Avoid if you are looking for a less experimental solution, since AICI is noted as a prototype and may not fit production scenarios requiring stability. ### Is aiac or aici more popular on GitHub? aiac has more GitHub stars (3,785 vs 2,075). Stars measure visibility, not whether either tool fits your constraints. ### Are aiac and aici open source? Yes - both are open-source projects on GitHub (aiac: Apache-2.0, aici: MIT). ### Where can I find alternatives to aiac or aici? GraphCanon lists graph-backed alternatives at [aiac alternatives](/tools/gofireflyio-aiac/alternatives) and [aici alternatives](/tools/microsoft-aici/alternatives) ([aiac markdown twin](/tools/gofireflyio-aiac/alternatives.md), [aici markdown twin](/tools/microsoft-aici/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-microsoft-aici.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aiac or aici? aiac: Slowing. aici: Dormant. 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 aici? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aiac trust report](/tools/gofireflyio-aiac/trust); [aici trust report](/tools/microsoft-aici/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/_