--- title: "aici vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-aici-vs-microsoft-autogen" tools: ["microsoft-aici", "microsoft-autogen"] --- # aici vs autogen Neutral, constraint-first comparison with live GitHub stats. | | [aici](/tools/microsoft-aici.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Artificial Intelligence Controller Interface (AICI) - Controllers for Constraining Large Language Model Outputs | A framework for creating multi-agent AI applications | | Stars | 2,076 | 59,573 | | Forks | 84 | 8,967 | | Open issues | 41 | 930 | | Language | Rust | Python | | Adopt for | Focused on providing a flexible interface for building and experimenting with controllers to constrain and direct output from large language models using WebAssembly modules. | AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC-BY-4.0 | | Categories | LLM Frameworks, Inference & Serving | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aici](/tools/microsoft-aici.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 531d | 83d | | Open issues (now) | 41 | 930 | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/microsoft-aici/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | **Typed relationship:** aici _(successor)_ autogen AICI describes itself as a foundation to build Controllers on top of LLMs, which can be seen as a more foundational piece compared to autogen. Autogen might be building on similar foundations to create multi-agent AI applications. Coexists - Autogen likely builds multi-agent systems using some form of controller logic that overlaps with the capabilities AICI aims to provide. ## Shared compatibility - **Python**: [aici](/tools/microsoft-aici.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: aici - **Adopt for:** Focused on providing a flexible interface for building and experimenting with controllers to constrain and direct output from large language models using WebAssembly modules. ## Decision facts: autogen - **Requirements:** AutoGen requires Python 3.10 or later. - **Adopt for:** AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. ## Choose when ### Choose aici if… - aici is primarily Rust; autogen is Python. - License: aici is MIT, autogen is CC-BY-4.0. - AICI describes itself as a foundation to build Controllers on top of LLMs, which can be seen as a more foundational piece compared to autogen. Autogen might be building on similar foundations to create multi-agent AI applications. - Tags unique to aici: llm, rust, transformer, language-model. - Also covers Inference & Serving. - When you need to implement real-time, token-by-token control over LLM outputs by incorporating custom logic that can dynamically edit prompts or generated text. ### Choose autogen if… - autogen is primarily Python; aici is Rust. - License: autogen is CC-BY-4.0, aici is MIT. - Requirements: AutoGen requires Python 3.10 or later.. - AICI describes itself as a foundation to build Controllers on top of LLMs, which can be seen as a more foundational piece compared to autogen. Autogen might be building on similar foundations to create multi-agent AI applications. - Tags unique to autogen: autogen, agents, agentic, framework. - Also covers AI Agents. - You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ## When NOT to use aici - When you require a solution that integrates seamlessly without needing to write custom logic, as competitors like LLGuidance might offer a more streamlined approach for constrained decoding. - If your primary goal is straightforward model serving or inference without the need for dynamic control over output generation during real-time decoding. ## When NOT to use autogen - Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. - Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ## Common questions ### What is the difference between aici and autogen? aici: Artificial Intelligence Controller Interface (AICI) - Controllers for Constraining Large Language Model Outputs. autogen: A framework for creating multi-agent AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose aici over autogen? Choose aici over autogen when aici is primarily Rust; autogen is Python; License: aici is MIT, autogen is CC-BY-4.0; AICI describes itself as a foundation to build Controllers on top of LLMs, which can be seen as a more foundational piece compared to autogen. Autogen might be building on similar foundations to create multi-agent AI applications; Tags unique to aici: llm, rust, transformer, language-model; Also covers Inference & Serving; When you need to implement real-time, token-by-token control over LLM outputs by incorporating custom logic that can dynamically edit prompts or generated text. ### When should I choose autogen over aici? Choose autogen over aici when autogen is primarily Python; aici is Rust; License: autogen is CC-BY-4.0, aici is MIT; Requirements: AutoGen requires Python 3.10 or later.; AICI describes itself as a foundation to build Controllers on top of LLMs, which can be seen as a more foundational piece compared to autogen. Autogen might be building on similar foundations to create multi-agent AI applications; Tags unique to autogen: autogen, agents, agentic, framework; Also covers AI Agents; You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ### When should I avoid aici? When you require a solution that integrates seamlessly without needing to write custom logic, as competitors like LLGuidance might offer a more streamlined approach for constrained decoding. If your primary goal is straightforward model serving or inference without the need for dynamic control over output generation during real-time decoding. ### When should I avoid autogen? Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ### Is aici or autogen more popular on GitHub? autogen has more GitHub stars (59,573 vs 2,076). Stars measure visibility, not whether either tool fits your constraints. ### Are aici and autogen open source? Yes - both are open-source projects on GitHub (aici: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to aici or autogen? GraphCanon lists graph-backed alternatives at /tools/microsoft-aici/alternatives and /tools/microsoft-autogen/alternatives (/tools/microsoft-aici/alternatives.md, /tools/microsoft-autogen/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 /compare/microsoft-aici-vs-microsoft-autogen.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aici or autogen? aici: Dormant. autogen: Steady. 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 aici and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aici: /tools/microsoft-aici/trust; autogen: /tools/microsoft-autogen/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-aici`](/api/graphcanon/graph?tool=microsoft-aici) - 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/_