Today's AI Frameworks & SDKs: Fastest-Growing Projects — June 11, 2026
Today's AI Frameworks & SDKs category on pullrepo.com highlights a diverse range of projects that cater to various aspects of artificial intelligence, from reinforcement learning and multimodal model training to trading agents and CAD generation benchmarks. These tools are designed to enhance developer productivity by providing robust frameworks and intuitive interfaces for complex tasks.
UniRL is a framework developed by Tencent-Hunyuan for unified multimodal model reinforcement learning. With a Growth Score of 95.67 and 427 stars, it has seen significant interest from the community due to its innovative approach to integrating multiple modalities in reinforcement learning environments.
Burrow, created by caezium, offers a native macOS GUI for managing disk space through the Mole CLI. This tool is gaining traction with its user-friendly interface and comprehensive set of features, earning 61.77 in Growth Score and accumulating 456 stars over recent weeks.
Study8677's awesome-architecture provides a collection of architecture maps and tutorials aimed at software architects, focusing on AI gateway, retrieval-augmented generation (RAG), agents, inference serving, and vector databases. This resource has gained 53.32 in Growth Score and amassed 1,291 stars due to its comprehensive coverage and practical application examples.
Duel-Agents by 2aronS is a CLI, SDK, and IDE plugin suite designed for developing and managing AI agents. With a Growth Score of 50.36 and 1,011 stars, it stands out for its versatility in facilitating the creation and deployment of intelligent agent systems.
VLM-AutoYOLO by Somnusochi is an automated object detection pipeline that leverages NVIDIA's LocateAnything-3B model for AI-driven annotation and training with YOLO. This project has attracted 41.22 Growth Score points and 109 stars, driven by its end-to-end solution for efficient object detection and model validation.
KVarN from Huawei-CSL is a KV-cache quantization backend designed to enhance the context capacity of vLLM agents while maintaining high throughput and accuracy levels. With a Growth Score of 39.62 and 388 stars, it appeals to developers looking for performance optimization in AI agent frameworks.
TradingAgents-astock by simonlin1212 is an A-share multi-agent investment research framework that includes seven AI analysts engaged in bull/bear debates and risk assessments based on specific market data sources. This tool has garnered 39.03 Growth Score points and 1,115 stars for its unique approach to financial analysis using AI.
Loushang by zhnt is an AI-native coding orchestration platform that supports unified multi-model agent runtime with stateful sessions, governance tools, and traceable delivery capabilities. It has earned a Growth Score of 32.19 and attracted 129 stars due to its comprehensive approach to managing complex AI workflows.
Model Studio CLI by modelstudioai is the official command-line interface for Model Studio that enables structured tool calls exposing models, search, multimodal, and workflow functionalities. With a Growth Score of 30.46 and 220 stars, it simplifies the process of integrating AI capabilities into existing frameworks.
CADGenBench by Hugging Face is a benchmarking suite aimed at evaluating AI-driven CAD generation and editing systems. This project has received a Growth Score of 22.07 and accumulated 53 stars for its focus on advancing research in automated design processes with machine learning techniques.
UniRL is a framework developed by Tencent-Hunyuan for unified multimodal model reinforcement learning. With a Growth Score of 95.67 and 427 stars, it has seen significant interest from the community due to its innovative approach to integrating multiple modalities in reinforcement learning environments.
Burrow, created by caezium, offers a native macOS GUI for managing disk space through the Mole CLI. This tool is gaining traction with its user-friendly interface and comprehensive set of features, earning 61.77 in Growth Score and accumulating 456 stars over recent weeks.
Study8677's awesome-architecture provides a collection of architecture maps and tutorials aimed at software architects, focusing on AI gateway, retrieval-augmented generation (RAG), agents, inference serving, and vector databases. This resource has gained 53.32 in Growth Score and amassed 1,291 stars due to its comprehensive coverage and practical application examples.
Duel-Agents by 2aronS is a CLI, SDK, and IDE plugin suite designed for developing and managing AI agents. With a Growth Score of 50.36 and 1,011 stars, it stands out for its versatility in facilitating the creation and deployment of intelligent agent systems.
VLM-AutoYOLO by Somnusochi is an automated object detection pipeline that leverages NVIDIA's LocateAnything-3B model for AI-driven annotation and training with YOLO. This project has attracted 41.22 Growth Score points and 109 stars, driven by its end-to-end solution for efficient object detection and model validation.
KVarN from Huawei-CSL is a KV-cache quantization backend designed to enhance the context capacity of vLLM agents while maintaining high throughput and accuracy levels. With a Growth Score of 39.62 and 388 stars, it appeals to developers looking for performance optimization in AI agent frameworks.
TradingAgents-astock by simonlin1212 is an A-share multi-agent investment research framework that includes seven AI analysts engaged in bull/bear debates and risk assessments based on specific market data sources. This tool has garnered 39.03 Growth Score points and 1,115 stars for its unique approach to financial analysis using AI.
Loushang by zhnt is an AI-native coding orchestration platform that supports unified multi-model agent runtime with stateful sessions, governance tools, and traceable delivery capabilities. It has earned a Growth Score of 32.19 and attracted 129 stars due to its comprehensive approach to managing complex AI workflows.
Model Studio CLI by modelstudioai is the official command-line interface for Model Studio that enables structured tool calls exposing models, search, multimodal, and workflow functionalities. With a Growth Score of 30.46 and 220 stars, it simplifies the process of integrating AI capabilities into existing frameworks.
CADGenBench by Hugging Face is a benchmarking suite aimed at evaluating AI-driven CAD generation and editing systems. This project has received a Growth Score of 22.07 and accumulated 53 stars for its focus on advancing research in automated design processes with machine learning techniques.