Today's AI Frameworks & SDKs: Fastest-Growing Projects — April 30, 2026
Today's trends in AI Frameworks & SDKs show a strong focus on optimization, scalability, and decentralized computing. Several tools have gained significant traction by offering solutions for efficient model inference, training frameworks, and peer-to-peer networks. Meanwhile, projects that enable AI-assisted trading, vulnerability research, and dataset management are also gaining popularity.
Alash3al's Stash has taken the top spot with a Growth Score of 98.83 and 556 stars, thanks to its innovative approach to providing a persistent memory layer for AI agents using Postgres. This self-hosted solution allows users to store episodes, facts, and working context in a single binary without relying on cloud services.
HKUDS-AI's polymarket-ai-trading has gained attention with a Growth Score of 89.33 and 161 stars, offering an AI-assisted paper trading platform for Polymarket that utilizes OpenAI market insight, vector search, Kelly sizing, and SQLite. This tool is growing rapidly due to its unique combination of AI-driven insights and automated trading capabilities.
Luce-Org's lucebox-hub boasts a whopping 1,257 stars and a Growth Score of 40.22, thanks to its hand-tuned LLM inference optimized for specific consumer hardware. This project is gaining traction among developers looking for efficient solutions for large language models on various devices.
Baidu-baige's LoongForge has attracted 152 stars with a Growth Score of 28.43, offering a modular and scalable training framework for language, multimodal, and embodied models. Its growth can be attributed to its highly efficient architecture that supports various AI applications.
Unclebob's swarm-forge is a simple yet effective tool for coordinating multiple AI agents, earning it a Growth Score of 27.15 and 427 stars. This project is gaining popularity among developers seeking easy-to-use solutions for managing complex AI workflows.
Simoncirstoiu's alice has gained 298 stars with a Growth Score of 23.91, providing an AI-powered YOLO dataset management toolkit that offers features like analysis, learning, ingestion, curation, and export. This tool is growing rapidly among developers working with computer vision tasks.
FonaTech's Project_Chronos boasts a Growth Score of 23.64 and 109 stars, offering zero-stall MoE inference via lookahead prediction and async DMA prefetching optimized for SSD I/O with hybrid MLA+sliding window attention. Its growth can be attributed to its innovative approach to optimizing AI model performance.
Hi-godot's godot-ai has attracted 140 stars with a Growth Score of 21.39, providing production-grade MCP servers and AI tools for the Godot engine. This project is gaining traction among game developers looking for efficient AI solutions within the popular game engine.
416rehman's DeepZero has gained 367 stars with a Growth Score of 21.28, offering an automated vulnerability research framework that uses AI agents to analyze Windows kernel drivers for exploitable IOCTLs. Its growth can be attributed to its unique approach to identifying zero-day vulnerabilities using AI-powered analysis.
Agent-FM's agentfm-core boasts a Growth Score of 19.82 and 102 stars, providing a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. This project is gaining popularity among developers seeking to leverage idle computing resources for massive AI workloads.
Alash3al's Stash has taken the top spot with a Growth Score of 98.83 and 556 stars, thanks to its innovative approach to providing a persistent memory layer for AI agents using Postgres. This self-hosted solution allows users to store episodes, facts, and working context in a single binary without relying on cloud services.
HKUDS-AI's polymarket-ai-trading has gained attention with a Growth Score of 89.33 and 161 stars, offering an AI-assisted paper trading platform for Polymarket that utilizes OpenAI market insight, vector search, Kelly sizing, and SQLite. This tool is growing rapidly due to its unique combination of AI-driven insights and automated trading capabilities.
Luce-Org's lucebox-hub boasts a whopping 1,257 stars and a Growth Score of 40.22, thanks to its hand-tuned LLM inference optimized for specific consumer hardware. This project is gaining traction among developers looking for efficient solutions for large language models on various devices.
Baidu-baige's LoongForge has attracted 152 stars with a Growth Score of 28.43, offering a modular and scalable training framework for language, multimodal, and embodied models. Its growth can be attributed to its highly efficient architecture that supports various AI applications.
Unclebob's swarm-forge is a simple yet effective tool for coordinating multiple AI agents, earning it a Growth Score of 27.15 and 427 stars. This project is gaining popularity among developers seeking easy-to-use solutions for managing complex AI workflows.
Simoncirstoiu's alice has gained 298 stars with a Growth Score of 23.91, providing an AI-powered YOLO dataset management toolkit that offers features like analysis, learning, ingestion, curation, and export. This tool is growing rapidly among developers working with computer vision tasks.
FonaTech's Project_Chronos boasts a Growth Score of 23.64 and 109 stars, offering zero-stall MoE inference via lookahead prediction and async DMA prefetching optimized for SSD I/O with hybrid MLA+sliding window attention. Its growth can be attributed to its innovative approach to optimizing AI model performance.
Hi-godot's godot-ai has attracted 140 stars with a Growth Score of 21.39, providing production-grade MCP servers and AI tools for the Godot engine. This project is gaining traction among game developers looking for efficient AI solutions within the popular game engine.
416rehman's DeepZero has gained 367 stars with a Growth Score of 21.28, offering an automated vulnerability research framework that uses AI agents to analyze Windows kernel drivers for exploitable IOCTLs. Its growth can be attributed to its unique approach to identifying zero-day vulnerabilities using AI-powered analysis.
Agent-FM's agentfm-core boasts a Growth Score of 19.82 and 102 stars, providing a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. This project is gaining popularity among developers seeking to leverage idle computing resources for massive AI workloads.