Today's LLM & Language Models: Fastest-Growing Projects — June 18, 2026
Today's the LLM & Language Models space, we're seeing a mix of innovative projects ranging from interactive AI education courses to advanced memory systems and API proxies that optimize costs for developers using large language models. The growth trends highlight a growing interest in practical applications that enhance user experience or improve efficiency.
buynao/aipath is an interactive general education course designed to teach the basics of artificial intelligence with 30 lessons, avoiding complex math. It currently has a Growth Score of 49.50 and over 300 stars on GitHub, indicating strong community interest in accessible AI education resources.
ClaudioDrews/memory-os is an intriguing project that creates a multi-layered memory operating system for agents, allowing persistent storage with Qdrant, structured facts, and surgical context injection. With a Growth Score of 49.39 and over 1,100 stars, it's clear this repository resonates with developers looking to enhance the functionality and intelligence of AI-driven systems.
hoolulu/deep-research provides a professional deep research report generation skill that supports multiple languages, allowing users to create detailed reports quickly through command-line interfaces. Its Growth Score is 40.54, suggesting it's gaining traction among researchers and analysts who need efficient ways to produce comprehensive reports in various languages.
fkiene/llmtrim offers a local proxy solution designed to compress API requests for LLMs, reducing costs by minimizing unnecessary tokens sent to the server without altering the output quality. With 69 stars and a Growth Score of 30.95, this tool appeals to developers who are looking for ways to optimize their interactions with large language models.
imcuttle/flipbook-app is an interactive knowledge exploration application that allows users to generate annotated child diagrams by long-pressing images within the app's interface. Its Growth Score of 22.19 and nearly 300 stars indicate a growing interest in visually rich, interactive learning tools leveraging language models.
TradingAi666/worldcup2026-prediction-skill offers an AI prediction engine for the 2026 FIFA World Cup using system prompts that integrate comprehensive data sets and evaluation methodologies. With just over 18 stars and a Growth Score of 18.93, this project is attracting attention from those interested in applying advanced language models to sports analytics.
Nigh/show-me-the-story provides a self-hosted AI novel generator with support for both Chinese and English languages. It uses an OpenAI-compatible API to generate outlines and chapters while incorporating review and fact-checking features. This tool has garnered 143 stars and a Growth Score of 17.37, reflecting its appeal among developers interested in creative applications of language models.
KorroAi/drunk-claude presents a chaotic yet innovative approach to enhancing the capabilities of Claude Code through five distinct techniques that aim to produce unfiltered and often brilliant ideas. With over 86 stars and a Growth Score of 14.00, this project is gaining interest from those who appreciate unconventional methods in AI development.
AtomFlow-AI/MoleCode enables large language models to operate on chemistry directly by representing molecules as code. It has received around 281 stars and a Growth Score of 12.53, indicating its relevance for researchers and developers working at the intersection of computational chemistry and artificial intelligence.
Sliverkiss/mimocode2api is a lightweight API gateway that converts MiMo language model services into standard OpenAI Chat Completions interfaces. It currently has 72 stars and a Growth Score of 12.21, suggesting it's finding its audience among developers who need flexible integration options for different AI services.
These projects reflect the dynamic nature of the LLM & Language Models space, with ongoing innovation focused on accessibility, efficiency, creativity, and practical application across various domains.
buynao/aipath is an interactive general education course designed to teach the basics of artificial intelligence with 30 lessons, avoiding complex math. It currently has a Growth Score of 49.50 and over 300 stars on GitHub, indicating strong community interest in accessible AI education resources.
ClaudioDrews/memory-os is an intriguing project that creates a multi-layered memory operating system for agents, allowing persistent storage with Qdrant, structured facts, and surgical context injection. With a Growth Score of 49.39 and over 1,100 stars, it's clear this repository resonates with developers looking to enhance the functionality and intelligence of AI-driven systems.
hoolulu/deep-research provides a professional deep research report generation skill that supports multiple languages, allowing users to create detailed reports quickly through command-line interfaces. Its Growth Score is 40.54, suggesting it's gaining traction among researchers and analysts who need efficient ways to produce comprehensive reports in various languages.
fkiene/llmtrim offers a local proxy solution designed to compress API requests for LLMs, reducing costs by minimizing unnecessary tokens sent to the server without altering the output quality. With 69 stars and a Growth Score of 30.95, this tool appeals to developers who are looking for ways to optimize their interactions with large language models.
imcuttle/flipbook-app is an interactive knowledge exploration application that allows users to generate annotated child diagrams by long-pressing images within the app's interface. Its Growth Score of 22.19 and nearly 300 stars indicate a growing interest in visually rich, interactive learning tools leveraging language models.
TradingAi666/worldcup2026-prediction-skill offers an AI prediction engine for the 2026 FIFA World Cup using system prompts that integrate comprehensive data sets and evaluation methodologies. With just over 18 stars and a Growth Score of 18.93, this project is attracting attention from those interested in applying advanced language models to sports analytics.
Nigh/show-me-the-story provides a self-hosted AI novel generator with support for both Chinese and English languages. It uses an OpenAI-compatible API to generate outlines and chapters while incorporating review and fact-checking features. This tool has garnered 143 stars and a Growth Score of 17.37, reflecting its appeal among developers interested in creative applications of language models.
KorroAi/drunk-claude presents a chaotic yet innovative approach to enhancing the capabilities of Claude Code through five distinct techniques that aim to produce unfiltered and often brilliant ideas. With over 86 stars and a Growth Score of 14.00, this project is gaining interest from those who appreciate unconventional methods in AI development.
AtomFlow-AI/MoleCode enables large language models to operate on chemistry directly by representing molecules as code. It has received around 281 stars and a Growth Score of 12.53, indicating its relevance for researchers and developers working at the intersection of computational chemistry and artificial intelligence.
Sliverkiss/mimocode2api is a lightweight API gateway that converts MiMo language model services into standard OpenAI Chat Completions interfaces. It currently has 72 stars and a Growth Score of 12.21, suggesting it's finding its audience among developers who need flexible integration options for different AI services.
These projects reflect the dynamic nature of the LLM & Language Models space, with ongoing innovation focused on accessibility, efficiency, creativity, and practical application across various domains.