PullRepo

Daily radar for the fastest-growing AI tools & repos

Today's AI Frameworks & SDKs: Fastest-Growing Projects — September 14, 2026

This week, the AI Frameworks & SDKs space continues to see a surge of innovative projects aimed at enhancing the capabilities of machine learning and artificial intelligence across various domains such as robotics, security, and cloud computing. Notably, one project stands out with its impressive growth score, showcasing robust community engagement and active development.

Human-Agent-Society/reef
REEF is a continual learning infrastructure designed to facilitate self-improving agents in diverse environments. With over 1,200 stars on GitHub and an impressive growth score of 74.39, it clearly resonates with developers interested in advancing the field of autonomous agent development.

0xBakeer/deepseek-v41-flash-spark
DeepSeek-V4.1-Flash is a project that integrates multiple AI services such as NVMe streaming and OpenAI API on a single DGX Spark system to optimize performance for resource-intensive tasks. Its growth score of 43.38 reflects the increasing interest in high-performance computing solutions for deep learning applications.

hkqr/my-free-code
This open-source multi-provider AI gateway supports Claude Code and other coding agents, offering features like model routing and local model support. With 635 stars on GitHub, it demonstrates significant traction among developers seeking versatile and efficient tools to manage multiple AI models and services.

Nehanth/swarmllm
SwarmLLM is a peer-to-peer LLM inference framework that splits large language models across devices in real-time for collaborative processing. Its growth score of 34.85, coupled with 276 stars, indicates strong community support for its innovative approach to distributed computing and AI model distribution.

Zyrexnn/Cybermes
Cybermes is an autonomous offensive security framework that leverages Hermes Agent and multi-model LLM orchestration to enhance capabilities in bug bounty and red-teaming scenarios. With 789 stars, it highlights the growing demand for sophisticated tools in cybersecurity and ethical hacking domains.

savellonirourou107-hue/SLX-Studio
This lightweight desktop IDE supports editing MATLAB scripts and Simulink models while offering AI assistance features like visual editing and parameter sweeps. Its growth score of 27.62, alongside 114 stars, suggests an emerging interest in integrated development environments that blend traditional coding with advanced AI functionalities.

Hebbian-Robotics/hflow
HFlow is an open-source SDK aimed at building multimodal data pipelines for robotics and physical AI applications, including data quality assurance and model enrichment. With a growth score of 24.31 and 263 stars, it captures the attention of developers focused on enhancing data processing capabilities in robotics.

huawei-bayerlab/marigold-v2
Marigold V2 is dedicated to revising diffusion transformers for monocular depth estimation, targeting applications like autonomous driving and AR/VR. Despite a lower growth score of 21.28, its 571 stars indicate substantial interest in advancing computer vision techniques with AI.

truespar/paddock
Paddock offers a native Rust inference server tailored for NVIDIA GPUs, providing APIs compatible with major AI platforms like OpenAI and Anthropic. Its growth score of 20.55, along with 83 stars, signals the growing demand for efficient and open-source solutions in cloud-based AI services.

peonist-ai/halogen-flash-server
This project is focused on optimizing the performance of Qwen3.8-Flash-Next on Strix Halo GPUs by offering a specialized inference server solution. With a growth score of 19.13 and 358 stars, it reflects an increasing interest in tailored hardware optimizations for AI workloads.

In summary, Today's report highlights the dynamic nature of the AI Frameworks & SDKs space with a range of projects addressing diverse needs from high-performance computing to specialized security tools, indicating continued innovation and community engagement.
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