Today's AI Frameworks & SDKs: Fastest-Growing Projects — May 08, 2026
Today's AI Frameworks & SDKs, we're seeing a surge in tools focused on efficient deployment and management of large language models (LLMs). With the increasing adoption of LLMs across various industries, developers are looking for ways to optimize their performance and make them more accessible. As a result, repositories that provide solutions for serving LLMs on specialized hardware or offer persistent memory layers for AI agents are gaining significant traction.
1bananachicken's MaaNTE is a shining example of this trend, with a growth score of 76.33 and 956 stars. This tool appears to be an assistant built on top of the MAAF framework, but its true potential lies in its ability to efficiently deploy LLMs. Its impressive commit history, with 100 commits in the past 30 days, suggests that it's actively being developed and improved.
Warpdot-dev's craft-agents-oss is another notable repository, boasting a growth score of 73.21 and 224 stars. This project provides an open-source SDK for building multi-LLM agents, allowing developers to create complex AI workflows with ease. Its growing popularity can be attributed to its versatility and the increasing demand for multi-model support in AI applications.
HKUDS-AI's polymarket-ai-trading is a unique tool that leverages OpenAI market insights for paper trading on Polymarket. With a growth score of 72.32 and 139 stars, it's clear that this repository is filling a specific niche in the trading community. Its slow commit history may indicate that it's a more specialized project, but its growing popularity suggests that there's interest in AI-driven trading strategies.
Noonghunna's club-3090 has gained significant attention with its growth score of 67.50 and 630 stars. This repository provides community recipes for serving LLMs on RTX 3090 hardware, making it an attractive solution for developers looking to optimize their model deployments. Its high commit count in the past 30 days (100 commits) indicates active development and a strong community backing.
Alash3al's stash is a persistent memory layer for AI agents that has garnered significant interest, with a growth score of 47.75 and 671 stars. This tool allows developers to store episodes, facts, and working context in Postgres, making it an essential component for building robust AI applications. Its high commit count (97 commits) suggests that it's being actively maintained and improved.
Other notable repositories include oritera's Cairn, a general-purpose state-space search engine; TheTom's vllm-swift, a Metal plugin for high-performance LLM inference on Apple Silicon; and jegly's Box, a private on-device AI suite for Android. While these tools may not have the same level of growth as some of the other repositories on this list, they each offer unique solutions to specific problems in the AI space.
Overall, Today's trends in AI Frameworks & SDKs highlight the growing need for efficient deployment and management of LLMs, as well as innovative solutions for building robust AI applications. As these tools continue to evolve and improve, we can expect to see even more exciting developments in the world of artificial intelligence.
1bananachicken's MaaNTE is a shining example of this trend, with a growth score of 76.33 and 956 stars. This tool appears to be an assistant built on top of the MAAF framework, but its true potential lies in its ability to efficiently deploy LLMs. Its impressive commit history, with 100 commits in the past 30 days, suggests that it's actively being developed and improved.
Warpdot-dev's craft-agents-oss is another notable repository, boasting a growth score of 73.21 and 224 stars. This project provides an open-source SDK for building multi-LLM agents, allowing developers to create complex AI workflows with ease. Its growing popularity can be attributed to its versatility and the increasing demand for multi-model support in AI applications.
HKUDS-AI's polymarket-ai-trading is a unique tool that leverages OpenAI market insights for paper trading on Polymarket. With a growth score of 72.32 and 139 stars, it's clear that this repository is filling a specific niche in the trading community. Its slow commit history may indicate that it's a more specialized project, but its growing popularity suggests that there's interest in AI-driven trading strategies.
Noonghunna's club-3090 has gained significant attention with its growth score of 67.50 and 630 stars. This repository provides community recipes for serving LLMs on RTX 3090 hardware, making it an attractive solution for developers looking to optimize their model deployments. Its high commit count in the past 30 days (100 commits) indicates active development and a strong community backing.
Alash3al's stash is a persistent memory layer for AI agents that has garnered significant interest, with a growth score of 47.75 and 671 stars. This tool allows developers to store episodes, facts, and working context in Postgres, making it an essential component for building robust AI applications. Its high commit count (97 commits) suggests that it's being actively maintained and improved.
Other notable repositories include oritera's Cairn, a general-purpose state-space search engine; TheTom's vllm-swift, a Metal plugin for high-performance LLM inference on Apple Silicon; and jegly's Box, a private on-device AI suite for Android. While these tools may not have the same level of growth as some of the other repositories on this list, they each offer unique solutions to specific problems in the AI space.
Overall, Today's trends in AI Frameworks & SDKs highlight the growing need for efficient deployment and management of LLMs, as well as innovative solutions for building robust AI applications. As these tools continue to evolve and improve, we can expect to see even more exciting developments in the world of artificial intelligence.