Today's AI Frameworks & SDKs: Fastest-Growing Projects — May 01, 2026
Today's landscape of AI frameworks and SDKs is marked by a surge in innovative solutions catering to diverse needs, from persistent memory layers for AI agents to decentralized AI supercomputers. The growth patterns indicate a strong demand for efficient, scalable, and modular tools that can handle complex tasks such as language model inference, multimodal training, and vulnerability research. With several repositories showing significant activity and adoption, it's clear that developers are seeking robust frameworks to power their AI projects.
The fastest-growing repository in this space is alash3al/stash, with a growth score of 88.43 and 599 stars. Stash provides a persistent memory layer for AI agents, storing episodes, facts, and working context in Postgres, along with an MCP server included for self-hosted deployment without cloud requirements. Its rapid growth can be attributed to the increasing need for efficient data management in AI applications.
Luce-Org/lucebox-hub comes second, boasting a growth score of 40.50 and an impressive 1,329 stars. This repository offers hand-tuned LLM inference optimized for specific consumer hardware, making it an attractive choice for developers seeking high-performance language model capabilities. Its popularity stems from the growing demand for efficient and specialized AI solutions that can run on diverse hardware configurations.
Baidu-baige/LoongForge has a growth score of 26.94 and 152 stars, presenting a modular, scalable, and highly efficient training framework for various AI models. As AI applications become increasingly complex, LoongForge's ability to handle language, multimodal, and embodied models efficiently contributes to its growing adoption.
Unclebob/swarm-forge, with a growth score of 25.32 and 430 stars, is a simple yet powerful tool for coordinating several AI agents. Its modest yet consistent growth indicates a steady interest in swarm intelligence and multi-agent systems, reflecting the broader trend towards more sophisticated AI interactions.
Simoncirstoiu/alice, boasting a growth score of 22.00 and 300 stars, offers an AI-powered YOLO dataset management toolkit for analyzing, learning, ingesting, curating, and exporting data. Its growing popularity highlights the importance of robust data handling in AI development pipelines.
FonaTech/Project_Chronos has a growth score of 21.67 and 109 stars, focusing on zero-stall MoE inference via lookahead prediction and async DMA prefetching, optimized for SSD I/O with hybrid MLA+sliding window attention. Its innovation in optimizing model inference for high-performance storage solutions contributes to its growing interest.
Hi-godot/godot-ai is a community-driven project providing production-grade MCP servers and AI tools for the Godot engine, with a growth score of 20.68 and 153 stars. Its steady growth reflects the expanding use of game engines in non-traditional AI applications and the need for robust AI integration tools.
416rehman/DeepZero boasts a growth score of 20.56 and 375 stars, offering an automated vulnerability research framework that uses AI agents to analyze Windows kernel drivers for exploitable IOCTLs. Its growing adoption underscores the increasing importance of AI in cybersecurity and vulnerability detection.
Agent-FM/agentfm-core has a growth score of 18.93 and 103 stars, presenting a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. The interest in decentralized computing solutions for AI workloads drives its modest yet consistent growth.
Lastly, PKU-YuanGroup/TIDE offers cross-architecture distillation for diffusion large language models, with a growth score of 18.25 and 58 stars. Although its commits are low, the significance of efficient model distillation techniques in AI research contributes to its presence on this list.
The fastest-growing repository in this space is alash3al/stash, with a growth score of 88.43 and 599 stars. Stash provides a persistent memory layer for AI agents, storing episodes, facts, and working context in Postgres, along with an MCP server included for self-hosted deployment without cloud requirements. Its rapid growth can be attributed to the increasing need for efficient data management in AI applications.
Luce-Org/lucebox-hub comes second, boasting a growth score of 40.50 and an impressive 1,329 stars. This repository offers hand-tuned LLM inference optimized for specific consumer hardware, making it an attractive choice for developers seeking high-performance language model capabilities. Its popularity stems from the growing demand for efficient and specialized AI solutions that can run on diverse hardware configurations.
Baidu-baige/LoongForge has a growth score of 26.94 and 152 stars, presenting a modular, scalable, and highly efficient training framework for various AI models. As AI applications become increasingly complex, LoongForge's ability to handle language, multimodal, and embodied models efficiently contributes to its growing adoption.
Unclebob/swarm-forge, with a growth score of 25.32 and 430 stars, is a simple yet powerful tool for coordinating several AI agents. Its modest yet consistent growth indicates a steady interest in swarm intelligence and multi-agent systems, reflecting the broader trend towards more sophisticated AI interactions.
Simoncirstoiu/alice, boasting a growth score of 22.00 and 300 stars, offers an AI-powered YOLO dataset management toolkit for analyzing, learning, ingesting, curating, and exporting data. Its growing popularity highlights the importance of robust data handling in AI development pipelines.
FonaTech/Project_Chronos has a growth score of 21.67 and 109 stars, focusing on zero-stall MoE inference via lookahead prediction and async DMA prefetching, optimized for SSD I/O with hybrid MLA+sliding window attention. Its innovation in optimizing model inference for high-performance storage solutions contributes to its growing interest.
Hi-godot/godot-ai is a community-driven project providing production-grade MCP servers and AI tools for the Godot engine, with a growth score of 20.68 and 153 stars. Its steady growth reflects the expanding use of game engines in non-traditional AI applications and the need for robust AI integration tools.
416rehman/DeepZero boasts a growth score of 20.56 and 375 stars, offering an automated vulnerability research framework that uses AI agents to analyze Windows kernel drivers for exploitable IOCTLs. Its growing adoption underscores the increasing importance of AI in cybersecurity and vulnerability detection.
Agent-FM/agentfm-core has a growth score of 18.93 and 103 stars, presenting a peer-to-peer network that turns everyday computers into a decentralized AI supercomputer. The interest in decentralized computing solutions for AI workloads drives its modest yet consistent growth.
Lastly, PKU-YuanGroup/TIDE offers cross-architecture distillation for diffusion large language models, with a growth score of 18.25 and 58 stars. Although its commits are low, the significance of efficient model distillation techniques in AI research contributes to its presence on this list.