Today's AI Frameworks & SDKs: Fastest-Growing Projects — April 14, 2026
Today's the AI Frameworks & SDKs space, we're seeing a surge in tools that enable developers to build and deploy AI models more efficiently. Many of these tools are focused on providing infrastructure for language models, multimodal modeling, and agent-based systems. As AI continues to be integrated into various industries, the need for robust frameworks and SDKs has never been greater.
Rohitg00's ai-engineering-from-scratch repository is leading the pack with a growth score of 89.41 and over 2,593 stars. This repository provides a comprehensive guide on how to learn, build, and ship AI models, making it an invaluable resource for developers looking to get started with AI engineering. Its high growth rate can be attributed to its well-structured content and the increasing demand for practical AI tutorials.
Jxnxts' mcp-brasil repository comes in second with a growth score of 65.42 and over 1,358 stars. This repository provides an MCP server for 41 public APIs in Brazil, making it an essential tool for developers working on projects that require integration with Brazilian APIs. Its popularity stems from its ability to simplify API interactions and provide a unified interface for accessing various services.
Yogthos' chiasmus repository has gained significant traction with a growth score of 43.50 and over 54 stars. Chiasmus is an MCP server that allows language models to access formal verification capabilities, making it an attractive tool for developers working on safety-critical AI applications. Its growth rate can be attributed to its innovative approach to combining natural language processing with formal methods.
Codefromkarl's ContextAtlas repository boasts a growth score of 28.45 and over 23 stars. This repository provides context infrastructure for AI coding agents, including hybrid retrieval, project memory, and retrieval observability. Its growth stems from the increasing demand for tools that enable more efficient development and deployment of AI models.
Rcortx's kiwiq repository has a growth score of 25.52 and over 1,060 stars. Kiwiq is a production-grade multi-agent orchestration platform that provides JSON-defined agents, multi-tier memory, and built-in observability. Its popularity stems from its ability to simplify the development and deployment of complex AI systems.
Elirantutia's vibeyard repository has gained significant attention with a growth score of 23.98 and over 464 stars. Vibeyard is an IDE specifically designed for AI coding agents, providing a comprehensive set of tools for developing and deploying AI models. Its growth rate can be attributed to its innovative approach to AI development.
OpenEnvision's Awesome-Multimodal-Modeling repository has a growth score of 23.61 and over 211 stars. This repository provides an exhaustive list of multimodal modeling resources, covering topics such as MLLM, UMM, and NMM. Its popularity stems from its ability to provide a centralized resource for developers working on multimodal AI projects.
Rhino-acoustic's NeuronFS repository boasts a growth score of 21.26 and over 136 stars. NeuronFS is an innovative file system that provides efficient storage and retrieval of neural network models, making it an attractive tool for developers working on large-scale AI projects. Its growth rate can be attributed to its ability to simplify the management of complex AI data.
Iflytek's iFly-Skills repository has a growth score of 18.43 and over 457 stars. This repository provides an official collection of skills for speech, OCR, translation, proofreading, and multimodal AI capabilities. Its popularity stems from its comprehensive set of tools for various AI applications.
JiaboLi-GitHub's renderdoc-mcp repository has a growth score of 18.42 and over 88 stars. This repository provides an MCP server for RenderDoc, enabling AI assistants to analyze GPU frame captures and debug graphics pipelines. Its growth rate can be attributed to its innovative approach to debugging complex graphics applications.
Rohitg00's ai-engineering-from-scratch repository is leading the pack with a growth score of 89.41 and over 2,593 stars. This repository provides a comprehensive guide on how to learn, build, and ship AI models, making it an invaluable resource for developers looking to get started with AI engineering. Its high growth rate can be attributed to its well-structured content and the increasing demand for practical AI tutorials.
Jxnxts' mcp-brasil repository comes in second with a growth score of 65.42 and over 1,358 stars. This repository provides an MCP server for 41 public APIs in Brazil, making it an essential tool for developers working on projects that require integration with Brazilian APIs. Its popularity stems from its ability to simplify API interactions and provide a unified interface for accessing various services.
Yogthos' chiasmus repository has gained significant traction with a growth score of 43.50 and over 54 stars. Chiasmus is an MCP server that allows language models to access formal verification capabilities, making it an attractive tool for developers working on safety-critical AI applications. Its growth rate can be attributed to its innovative approach to combining natural language processing with formal methods.
Codefromkarl's ContextAtlas repository boasts a growth score of 28.45 and over 23 stars. This repository provides context infrastructure for AI coding agents, including hybrid retrieval, project memory, and retrieval observability. Its growth stems from the increasing demand for tools that enable more efficient development and deployment of AI models.
Rcortx's kiwiq repository has a growth score of 25.52 and over 1,060 stars. Kiwiq is a production-grade multi-agent orchestration platform that provides JSON-defined agents, multi-tier memory, and built-in observability. Its popularity stems from its ability to simplify the development and deployment of complex AI systems.
Elirantutia's vibeyard repository has gained significant attention with a growth score of 23.98 and over 464 stars. Vibeyard is an IDE specifically designed for AI coding agents, providing a comprehensive set of tools for developing and deploying AI models. Its growth rate can be attributed to its innovative approach to AI development.
OpenEnvision's Awesome-Multimodal-Modeling repository has a growth score of 23.61 and over 211 stars. This repository provides an exhaustive list of multimodal modeling resources, covering topics such as MLLM, UMM, and NMM. Its popularity stems from its ability to provide a centralized resource for developers working on multimodal AI projects.
Rhino-acoustic's NeuronFS repository boasts a growth score of 21.26 and over 136 stars. NeuronFS is an innovative file system that provides efficient storage and retrieval of neural network models, making it an attractive tool for developers working on large-scale AI projects. Its growth rate can be attributed to its ability to simplify the management of complex AI data.
Iflytek's iFly-Skills repository has a growth score of 18.43 and over 457 stars. This repository provides an official collection of skills for speech, OCR, translation, proofreading, and multimodal AI capabilities. Its popularity stems from its comprehensive set of tools for various AI applications.
JiaboLi-GitHub's renderdoc-mcp repository has a growth score of 18.42 and over 88 stars. This repository provides an MCP server for RenderDoc, enabling AI assistants to analyze GPU frame captures and debug graphics pipelines. Its growth rate can be attributed to its innovative approach to debugging complex graphics applications.