Today's AI Frameworks & SDKs: Fastest-Growing Projects — April 22, 2026
Today's the AI Frameworks & SDKs space, we're seeing a surge in interest around tools that enable developers to build and deploy AI models more efficiently. The top-growing repositories are focused on providing infrastructure for AI development, from decentralized computing networks to optimized inference engines. These tools are gaining traction due to their ability to simplify complex AI workflows and improve model performance.
jxnxts/mcp-brasil takes the top spot with a Growth Score of 48.80 and 1,444 stars. This repository provides an MCP server for 41 public Brazilian APIs, making it a valuable resource for developers working on projects that require integration with these services. Its high growth rate is likely due to its utility in facilitating access to these APIs.
unclebob/swarm-forge comes in second with a Growth Score of 47.50 and 265 stars. This tool coordinates several AI agents, providing a simple way to manage complex AI workflows. Its growth can be attributed to the increasing need for scalable AI solutions that can handle multiple models and tasks.
simoncirstoiu/alice has a Growth Score of 44.67 and 148 stars. This AI-powered YOLO dataset management toolkit helps with analyzing, learning, ingesting, curating, and exporting data. Its growth is likely driven by the need for efficient data management in computer vision applications.
Agent-FM/agentfm-core boasts a Growth Score of 28.91 and 84 stars. This peer-to-peer network turns everyday computers into a decentralized AI supercomputer, allowing developers to run massive AI workloads on idle CPUs and GPUs. Its growth is likely due to the increasing demand for scalable computing resources in AI development.
Luce-Org/lucebox-hub has a Growth Score of 26.58 and 581 stars. This repository provides hand-tuned LLM inference optimized for specific consumer hardware, making it an attractive solution for developers looking to improve model performance on edge devices. Its growth is likely driven by the need for efficient inference engines in resource-constrained environments.
itsXactlY/neural-memory has a Growth Score of 24.65 and 26 stars. This semantic memory system uses knowledge graphs, spreading activation, and embedding-based recall to provide autonomous learning capabilities. Its growth is likely due to its innovative approach to AI model development.
yogthos/chiasmus boasts a Growth Score of 22.60 and 63 stars. This MCP server gives language models access to formal verification, enabling more robust AI development workflows. Its growth is likely driven by the need for more reliable and trustworthy AI systems.
Tencent-Hunyuan/HY-SOAR has a Growth Score of 21.92 and 140 stars. This repository provides self-correction for optimal alignment and refinement in diffusion models, helping to improve model performance and accuracy. Its growth is likely due to its utility in enhancing the quality of generated outputs.
416rehman/DeepZero has a Growth Score of 18.30 and 96 stars. This automated vulnerability research framework uses AI agents to analyze Windows kernel drivers for exploitable IOCTLs, making it a valuable tool for security researchers. Its growth is likely driven by the increasing need for proactive vulnerability detection in software development.
OpenEnvision/Awesome-Multimodal-Modeling rounds out the list with a Growth Score of 17.65 and 270 stars. This repository provides an extensive collection of resources on multimodal modeling, covering MLLM, UMM, and NMM. Its growth is likely due to its value as a centralized resource for developers working in this area.
jxnxts/mcp-brasil takes the top spot with a Growth Score of 48.80 and 1,444 stars. This repository provides an MCP server for 41 public Brazilian APIs, making it a valuable resource for developers working on projects that require integration with these services. Its high growth rate is likely due to its utility in facilitating access to these APIs.
unclebob/swarm-forge comes in second with a Growth Score of 47.50 and 265 stars. This tool coordinates several AI agents, providing a simple way to manage complex AI workflows. Its growth can be attributed to the increasing need for scalable AI solutions that can handle multiple models and tasks.
simoncirstoiu/alice has a Growth Score of 44.67 and 148 stars. This AI-powered YOLO dataset management toolkit helps with analyzing, learning, ingesting, curating, and exporting data. Its growth is likely driven by the need for efficient data management in computer vision applications.
Agent-FM/agentfm-core boasts a Growth Score of 28.91 and 84 stars. This peer-to-peer network turns everyday computers into a decentralized AI supercomputer, allowing developers to run massive AI workloads on idle CPUs and GPUs. Its growth is likely due to the increasing demand for scalable computing resources in AI development.
Luce-Org/lucebox-hub has a Growth Score of 26.58 and 581 stars. This repository provides hand-tuned LLM inference optimized for specific consumer hardware, making it an attractive solution for developers looking to improve model performance on edge devices. Its growth is likely driven by the need for efficient inference engines in resource-constrained environments.
itsXactlY/neural-memory has a Growth Score of 24.65 and 26 stars. This semantic memory system uses knowledge graphs, spreading activation, and embedding-based recall to provide autonomous learning capabilities. Its growth is likely due to its innovative approach to AI model development.
yogthos/chiasmus boasts a Growth Score of 22.60 and 63 stars. This MCP server gives language models access to formal verification, enabling more robust AI development workflows. Its growth is likely driven by the need for more reliable and trustworthy AI systems.
Tencent-Hunyuan/HY-SOAR has a Growth Score of 21.92 and 140 stars. This repository provides self-correction for optimal alignment and refinement in diffusion models, helping to improve model performance and accuracy. Its growth is likely due to its utility in enhancing the quality of generated outputs.
416rehman/DeepZero has a Growth Score of 18.30 and 96 stars. This automated vulnerability research framework uses AI agents to analyze Windows kernel drivers for exploitable IOCTLs, making it a valuable tool for security researchers. Its growth is likely driven by the increasing need for proactive vulnerability detection in software development.
OpenEnvision/Awesome-Multimodal-Modeling rounds out the list with a Growth Score of 17.65 and 270 stars. This repository provides an extensive collection of resources on multimodal modeling, covering MLLM, UMM, and NMM. Its growth is likely due to its value as a centralized resource for developers working in this area.