--- title: "MM-REACT vs ai-engineering-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-mm-react-vs-rohitg00-ai-engineering-from-scratch" tools: ["microsoft-mm-react", "rohitg00-ai-engineering-from-scratch"] --- # MM-REACT vs ai-engineering-from-scratch *GraphCanon updated Jul 11, 2026* ## Verdict Pick MM-REACT when tags unique to MM-REACT: python; pick ai-engineering-from-scratch when pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. [MM-REACT](https://multimodal-react.github.io/) reports 967 GitHub stars, 67 forks, and 20 open issues, last pushed Jan 31, 2024. [ai-engineering-from-scratch](https://aiengineeringfromscratch.com) has 38k stars, 6.3k forks, and 96 open issues, last pushed Jun 25, 2026. Figures are from public GitHub metadata via [MM-REACT's repository](https://github.com/microsoft/MM-REACT) and [ai-engineering-from-scratch's repository](https://github.com/rohitg00/ai-engineering-from-scratch). | | [MM-REACT](/tools/microsoft-mm-react.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Tagline | Official repo for MM-REACT | Learn it. Build it. Ship it for others. | | Stars | 967 | 37,922 | | Forks | 67 | 6,329 | | Open issues | 20 | 96 | | Language | Python | Python | | Adopt for | - | Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | LLM Frameworks | AI Agents, Computer Vision, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [MM-REACT](/tools/microsoft-mm-react.md) | [ai-engineering-from-scratch](/tools/rohitg00-ai-engineering-from-scratch.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 891d | 15d | | Open issues (now) | 20 | 96 | | Owner type | Organization | User | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/microsoft-mm-react/trust.md) | [trust report](/tools/rohitg00-ai-engineering-from-scratch/trust.md) | ## Decision facts: ai-engineering-from-scratch - **Pricing:** freemium - The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up - **Adopt for:** Specifically designed for individuals looking to build a comprehensive understanding of AI tools and frameworks from the ground up. ## Choose when ### Choose MM-REACT if… - Tags unique to MM-REACT: python. - Leaner open-issue backlog (20). ### Choose ai-engineering-from-scratch if… - Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up. - Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning. - Also covers AI Agents, Computer Vision, Developer Tools. - When you want to start with foundational knowledge and learn the intricacies behind AI systems. ## When NOT to use MM-REACT - Last GitHub push was 892 days ago (dormant maintenance, Jan 31, 2024). Validate activity before betting a new project on MM-REACT. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use ai-engineering-from-scratch - If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. - When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ## Common questions ### What is the difference between MM-REACT and ai-engineering-from-scratch? MM-REACT: Official repo for MM-REACT. ai-engineering-from-scratch: Learn it. Build it. Ship it for others.. See the comparison table for live GitHub stats and shared categories. ### When should I choose MM-REACT over ai-engineering-from-scratch? Choose MM-REACT over ai-engineering-from-scratch when Tags unique to MM-REACT: python; Leaner open-issue backlog (20). ### When should I choose ai-engineering-from-scratch over MM-REACT? Choose ai-engineering-from-scratch over MM-REACT when Pricing: The `ai-engineering-from-scratch` repository is free and open-source under an MIT license, but for full access to additional resources or support, a paid option may be provided. Consult official or up; Tags unique to ai-engineering-from-scratch: agents, ai-engineering, computer-vision, deep-learning; Also covers AI Agents, Computer Vision, Developer Tools; When you want to start with foundational knowledge and learn the intricacies behind AI systems. ### When should I avoid MM-REACT? Last GitHub push was 892 days ago (dormant maintenance, Jan 31, 2024). Validate activity before betting a new project on MM-REACT. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid ai-engineering-from-scratch? If you are looking for a quick setup or ready-to-go solution without diving into the foundational understanding. When your project requires immediate practical application with less emphasis on self-implemented solutions from scratch. ### Is MM-REACT or ai-engineering-from-scratch more popular on GitHub? ai-engineering-from-scratch has more GitHub stars (37,922 vs 967). Stars measure visibility, not whether either tool fits your constraints. ### Are MM-REACT and ai-engineering-from-scratch open source? Yes - both are open-source projects on GitHub (MM-REACT: MIT, ai-engineering-from-scratch: MIT). ### Where can I find alternatives to MM-REACT or ai-engineering-from-scratch? GraphCanon lists graph-backed alternatives at [MM-REACT alternatives](/tools/microsoft-mm-react/alternatives) and [ai-engineering-from-scratch alternatives](/tools/rohitg00-ai-engineering-from-scratch/alternatives) ([MM-REACT markdown twin](/tools/microsoft-mm-react/alternatives.md), [ai-engineering-from-scratch markdown twin](/tools/rohitg00-ai-engineering-from-scratch/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/microsoft-mm-react-vs-rohitg00-ai-engineering-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, MM-REACT or ai-engineering-from-scratch? MM-REACT: Dormant. ai-engineering-from-scratch: 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 MM-REACT and ai-engineering-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [MM-REACT trust report](/tools/microsoft-mm-react/trust); [ai-engineering-from-scratch trust report](/tools/rohitg00-ai-engineering-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-mm-react`](/api/graphcanon/graph?tool=microsoft-mm-react) - 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/_