Today's AI Frameworks & SDKs: Fastest-Growing Projects — April 11, 2026
Today's AI Frameworks & SDKs, we're seeing a surge in interest around tools that enable developers to build and deploy AI-powered applications more efficiently. Many of the top-growing repositories are focused on providing infrastructure and platforms for AI development, with a particular emphasis on multimodal interaction and formal verification.
Rohitg00's `ai-engineering-from-scratch` repository is leading the pack with a growth score of 92.50 and over 2,300 stars. This repository provides a comprehensive guide to building and shipping AI-powered applications from scratch, making it an invaluable resource for developers looking to get started in the field. Its high growth rate can be attributed to its popularity among junior developers and AI enthusiasts.
Jxnxts' `mcp-brasil` repository is another fast-growing project, with a growth score of 76.28 and over 1,300 stars. This repository provides an MCP server for 41 public APIs in Brazil, making it easier for developers to integrate AI-powered functionality into their applications. Its popularity can be attributed to the growing demand for AI-powered solutions in the Brazilian market.
Yogthos' `chiasmus` repository is a notable mention, with a growth score of 61.25 and 43 stars. Chiasmus is an MCP server that gives language models access to formal verification, allowing developers to build more robust and reliable AI-powered applications. Its growth can be attributed to the increasing interest in formal verification and its potential applications in AI development.
Codefromkarl's `ContextAtlas` repository has a growth score of 37.62 and 23 stars, but is worth mentioning due to its innovative approach to context infrastructure for AI coding agents. This repository provides a hybrid retrieval system, project memory, and retrieval observability via CLI, MCP server, or embeddable library. Its growth can be attributed to the growing need for more sophisticated context-aware AI systems.
Claw-Company's `clawcompany` repository has a growth score of 32.48 and an impressive 898 stars. This repository provides an open-source AI company OS with 38 roles, 6 templates, and a 4-layer memory system. Its popularity can be attributed to its comprehensive feature set and ease of use.
Rhino-acoustic's `NeuronFS` repository has a growth score of 25.25 and 136 stars. NeuronFS is a novel file system that uses B-tree indexing to govern AI-powered functionality, providing a more efficient and scalable solution for large-scale AI applications. Its growth can be attributed to the increasing demand for more efficient AI infrastructure.
Rcortx's `kiwiq` repository has a growth score of 23.35 and an impressive 824 stars. Kiwiq is a production-grade multi-agent orchestration platform that provides JSON-defined agents, multi-tier memory, and built-in observability. Its popularity can be attributed to its comprehensive feature set and battle-tested reliability.
Iflytek's `iFly-Skills` repository has a growth score of 22.50 and 456 stars. This repository provides an official collection of skills for speech, OCR, translation, proofreading, and multimodal AI capabilities. Its growth can be attributed to the increasing demand for pre-trained AI models and skills.
DISCO-design's `DISCO` repository has a growth score of 21.25 and 98 stars. DISCO is a code repository for the DISCO model, which enables general multimodal protein design and DNA-encoding of chemistry. Its growth can be attributed to the increasing interest in multimodal AI applications.
JiaboLi-GitHub's `renderdoc-mcp` repository has a growth score of 20.69 and 53 stars. This repository provides an MCP server for RenderDoc, empowering AI assistants to analyze GPU frame captures and debug graphics pipelines. Its growth can be attributed to the increasing demand for more efficient AI-powered debugging tools.
Rohitg00's `ai-engineering-from-scratch` repository is leading the pack with a growth score of 92.50 and over 2,300 stars. This repository provides a comprehensive guide to building and shipping AI-powered applications from scratch, making it an invaluable resource for developers looking to get started in the field. Its high growth rate can be attributed to its popularity among junior developers and AI enthusiasts.
Jxnxts' `mcp-brasil` repository is another fast-growing project, with a growth score of 76.28 and over 1,300 stars. This repository provides an MCP server for 41 public APIs in Brazil, making it easier for developers to integrate AI-powered functionality into their applications. Its popularity can be attributed to the growing demand for AI-powered solutions in the Brazilian market.
Yogthos' `chiasmus` repository is a notable mention, with a growth score of 61.25 and 43 stars. Chiasmus is an MCP server that gives language models access to formal verification, allowing developers to build more robust and reliable AI-powered applications. Its growth can be attributed to the increasing interest in formal verification and its potential applications in AI development.
Codefromkarl's `ContextAtlas` repository has a growth score of 37.62 and 23 stars, but is worth mentioning due to its innovative approach to context infrastructure for AI coding agents. This repository provides a hybrid retrieval system, project memory, and retrieval observability via CLI, MCP server, or embeddable library. Its growth can be attributed to the growing need for more sophisticated context-aware AI systems.
Claw-Company's `clawcompany` repository has a growth score of 32.48 and an impressive 898 stars. This repository provides an open-source AI company OS with 38 roles, 6 templates, and a 4-layer memory system. Its popularity can be attributed to its comprehensive feature set and ease of use.
Rhino-acoustic's `NeuronFS` repository has a growth score of 25.25 and 136 stars. NeuronFS is a novel file system that uses B-tree indexing to govern AI-powered functionality, providing a more efficient and scalable solution for large-scale AI applications. Its growth can be attributed to the increasing demand for more efficient AI infrastructure.
Rcortx's `kiwiq` repository has a growth score of 23.35 and an impressive 824 stars. Kiwiq is a production-grade multi-agent orchestration platform that provides JSON-defined agents, multi-tier memory, and built-in observability. Its popularity can be attributed to its comprehensive feature set and battle-tested reliability.
Iflytek's `iFly-Skills` repository has a growth score of 22.50 and 456 stars. This repository provides an official collection of skills for speech, OCR, translation, proofreading, and multimodal AI capabilities. Its growth can be attributed to the increasing demand for pre-trained AI models and skills.
DISCO-design's `DISCO` repository has a growth score of 21.25 and 98 stars. DISCO is a code repository for the DISCO model, which enables general multimodal protein design and DNA-encoding of chemistry. Its growth can be attributed to the increasing interest in multimodal AI applications.
JiaboLi-GitHub's `renderdoc-mcp` repository has a growth score of 20.69 and 53 stars. This repository provides an MCP server for RenderDoc, empowering AI assistants to analyze GPU frame captures and debug graphics pipelines. Its growth can be attributed to the increasing demand for more efficient AI-powered debugging tools.