Today's AI Frameworks & SDKs: Fastest-Growing Projects — May 01, 2026
Today's AI Frameworks & SDKs landscape is dominated by innovative solutions catering to diverse needs, from persistent memory layers for AI agents to modular training frameworks and decentralized AI supercomputers. Notably, there is a surge in interest around tools that enable efficient model inference, dataset management, and vulnerability research using AI agents. As the space continues to evolve, we see a mix of established projects with high star counts and newer entrants making significant strides.
Alash3al's stash boasts an impressive growth score of 90.36, with its persistent memory layer for AI agents, storing episodes, facts, and working context in Postgres, resonating with developers seeking self-hosted solutions. Its recent surge in commits (97 in the last 30 days) indicates active development and community engagement.
Luce-Org's lucebox-hub, despite having a lower growth score of 41.09 compared to stash, has an impressive 1,350 stars and continues to attract attention with its hand-tuned LLM inference optimized for specific consumer hardware. Its recent commit activity (100 in the last 30 days) suggests ongoing efforts to refine its offerings.
Baidu-baige's LoongForge presents a modular, scalable, and highly efficient training framework for language, multimodal, and embodied models, appealing to those seeking flexibility in their AI development pipelines. With a growth score of 26.94 and 152 stars, it demonstrates potential as a go-to solution for diverse model training needs.
Unclebob's swarm-forge, with its simple yet effective approach to coordinating several AI agents, has garnered interest from the community, reflected in its growth score of 25.36 and 431 stars. Its recent development activity (24 commits in the last 30 days) indicates ongoing refinement of its core functionalities.
Simoncirstoiu's alice offers a comprehensive toolkit for YOLO dataset management, leveraging AI-powered analysis, learning, ingestion, curation, and export capabilities. With a growth score of 22.00 and 300 stars, it has carved out a niche in the dataset management space, particularly appealing to those working with YOLO datasets.
FonaTech's Project_Chronos, focusing on zero-stall MoE inference via lookahead prediction and async DMA prefetching optimized for SSD I/O, is another project gaining traction. Its growth score of 21.67 and recent commit activity (54 in the last 30 days) highlight its relevance in optimizing model inference performance.
Hi-godot's godot-ai offers production-grade MCP server and AI tools specifically designed for the Godot engine. With a growth score of 20.89, 158 stars, and active development (100 commits in the last 30 days), it is becoming a vital resource for game developers leveraging AI within the Godot ecosystem.
416rehman's DeepZero has attracted attention with its automated vulnerability research framework that utilizes AI agents to parse, decompile, and analyze Windows kernel drivers. Its growth score of 20.56 and recent commits (79 in the last 30 days) underscore its growing importance in security-focused AI applications.
PKU-YuanGroup's TIDE is focused on cross-architecture distillation for diffusion large language models. Despite a lower growth score of 19.25, its unique approach has garnered interest, as evidenced by its 62 stars and recent development activity.
Agent-FM's agentfm-core, with its peer-to-peer network turning everyday computers into a decentralized AI supercomputer, is an innovative solution in the distributed computing space. Its growth score of 18.95 and active commits (100 in the last 30 days) reflect growing interest in harnessing collective computational power for AI workloads.
Alash3al's stash boasts an impressive growth score of 90.36, with its persistent memory layer for AI agents, storing episodes, facts, and working context in Postgres, resonating with developers seeking self-hosted solutions. Its recent surge in commits (97 in the last 30 days) indicates active development and community engagement.
Luce-Org's lucebox-hub, despite having a lower growth score of 41.09 compared to stash, has an impressive 1,350 stars and continues to attract attention with its hand-tuned LLM inference optimized for specific consumer hardware. Its recent commit activity (100 in the last 30 days) suggests ongoing efforts to refine its offerings.
Baidu-baige's LoongForge presents a modular, scalable, and highly efficient training framework for language, multimodal, and embodied models, appealing to those seeking flexibility in their AI development pipelines. With a growth score of 26.94 and 152 stars, it demonstrates potential as a go-to solution for diverse model training needs.
Unclebob's swarm-forge, with its simple yet effective approach to coordinating several AI agents, has garnered interest from the community, reflected in its growth score of 25.36 and 431 stars. Its recent development activity (24 commits in the last 30 days) indicates ongoing refinement of its core functionalities.
Simoncirstoiu's alice offers a comprehensive toolkit for YOLO dataset management, leveraging AI-powered analysis, learning, ingestion, curation, and export capabilities. With a growth score of 22.00 and 300 stars, it has carved out a niche in the dataset management space, particularly appealing to those working with YOLO datasets.
FonaTech's Project_Chronos, focusing on zero-stall MoE inference via lookahead prediction and async DMA prefetching optimized for SSD I/O, is another project gaining traction. Its growth score of 21.67 and recent commit activity (54 in the last 30 days) highlight its relevance in optimizing model inference performance.
Hi-godot's godot-ai offers production-grade MCP server and AI tools specifically designed for the Godot engine. With a growth score of 20.89, 158 stars, and active development (100 commits in the last 30 days), it is becoming a vital resource for game developers leveraging AI within the Godot ecosystem.
416rehman's DeepZero has attracted attention with its automated vulnerability research framework that utilizes AI agents to parse, decompile, and analyze Windows kernel drivers. Its growth score of 20.56 and recent commits (79 in the last 30 days) underscore its growing importance in security-focused AI applications.
PKU-YuanGroup's TIDE is focused on cross-architecture distillation for diffusion large language models. Despite a lower growth score of 19.25, its unique approach has garnered interest, as evidenced by its 62 stars and recent development activity.
Agent-FM's agentfm-core, with its peer-to-peer network turning everyday computers into a decentralized AI supercomputer, is an innovative solution in the distributed computing space. Its growth score of 18.95 and active commits (100 in the last 30 days) reflect growing interest in harnessing collective computational power for AI workloads.