Today's LLM & Language Models: Fastest-Growing Projects — May 06, 2026
This week, the LLM & Language Models space saw significant activity around optimizing language model performance and creating more conversational interfaces. Several repositories focused on improving decoding speed and efficiency, while others explored novel applications of language models in areas like traditional fortune telling and wiki-based knowledge bases.
youssofal/MTPLX (Growth Score: 71.88, Stars: 104) stands out for its impressive growth this week. This repository provides native MTP speculative decoding on Apple Silicon, resulting in a significant increase in decode throughput per second (TPS). Its compatibility with OpenAI API and Anthropic-compatible serving makes it an attractive solution for developers looking to optimize their language model performance.
In contrast, openai/privacy-filter (Growth Score: 65.32, Stars: 1,951) has seen relatively slow activity in terms of commits, but its high star count indicates ongoing interest in this project. As the name suggests, OpenAI Privacy Filter is designed to protect user data and maintain privacy standards within language models.
hexiecs/talk-normal (Growth Score: 37.45, Stars: 1,593) offers a unique approach to making LLMs sound more human-like by removing "AI slop" from their responses. With a high growth score and significant commit activity, this repository is likely gaining traction among developers seeking to create more natural-sounding language models.
Meanwhile, AlexCheema/talos-vs-macbook (Growth Score: 34.00, Stars: 152) presents an intriguing benchmark comparison between microGPT on an M4 Max MacBook Pro and TALOS-V2's FPGA implementation. This repository highlights the performance differences between these two approaches, sparking interest among developers exploring optimized hardware solutions for language models.
Beever-AI/beever-atlas (Growth Score: 32.10, Stars: 258) provides a comprehensive wiki-based knowledge base for LLMs, showcasing the potential of this approach in creating conversational interfaces. With significant commit activity and a respectable growth score, this repository is gaining traction among developers interested in exploring novel applications of language models.
AgriciDaniel/claude-obsidian (Growth Score: 29.11, Stars: 4,338) offers an impressive Claude + Obsidian knowledge companion that leverages Karpathy's LLM Wiki pattern. This repository has seen significant activity and boasts a high star count, indicating its popularity among developers seeking to create persistent and compounding wiki vaults.
amitshekhariitbhu/llm-internals (Growth Score: 26.77, Stars: 961) provides an educational resource for learning LLM internals step-by-step, covering topics from tokenization to inference optimization. This repository's moderate growth score suggests ongoing interest in understanding the inner workings of language models.
DestinyLinker/MingLi-Bench (Growth Score: 25.82, Stars: 483) presents a unique benchmark for evaluating LLMs on traditional Chinese fortune telling methods like Bazi and Ziwei Doushu. This repository's growth score indicates increasing interest in exploring the potential of language models in these areas.
JackLuguibin/OpenPawlet (Growth Score: 22.58, Stars: 102) offers a single-process web console for the OpenPawlet ecosystem, providing an HTTP API, browser UI, and embedded agent runtime. This repository's growth score suggests that developers are taking notice of this comprehensive solution.
Lastly, skyllwt/OmegaWiki (Growth Score: 20.87, Stars: 509) brings Karpathy's LLM-Wiki vision to life with a fully realized wiki-centric full-lifecycle AI research platform powered by Claude Code. This repository's moderate growth score indicates ongoing interest in exploring the potential of wiki-based knowledge bases for language models.
youssofal/MTPLX (Growth Score: 71.88, Stars: 104) stands out for its impressive growth this week. This repository provides native MTP speculative decoding on Apple Silicon, resulting in a significant increase in decode throughput per second (TPS). Its compatibility with OpenAI API and Anthropic-compatible serving makes it an attractive solution for developers looking to optimize their language model performance.
In contrast, openai/privacy-filter (Growth Score: 65.32, Stars: 1,951) has seen relatively slow activity in terms of commits, but its high star count indicates ongoing interest in this project. As the name suggests, OpenAI Privacy Filter is designed to protect user data and maintain privacy standards within language models.
hexiecs/talk-normal (Growth Score: 37.45, Stars: 1,593) offers a unique approach to making LLMs sound more human-like by removing "AI slop" from their responses. With a high growth score and significant commit activity, this repository is likely gaining traction among developers seeking to create more natural-sounding language models.
Meanwhile, AlexCheema/talos-vs-macbook (Growth Score: 34.00, Stars: 152) presents an intriguing benchmark comparison between microGPT on an M4 Max MacBook Pro and TALOS-V2's FPGA implementation. This repository highlights the performance differences between these two approaches, sparking interest among developers exploring optimized hardware solutions for language models.
Beever-AI/beever-atlas (Growth Score: 32.10, Stars: 258) provides a comprehensive wiki-based knowledge base for LLMs, showcasing the potential of this approach in creating conversational interfaces. With significant commit activity and a respectable growth score, this repository is gaining traction among developers interested in exploring novel applications of language models.
AgriciDaniel/claude-obsidian (Growth Score: 29.11, Stars: 4,338) offers an impressive Claude + Obsidian knowledge companion that leverages Karpathy's LLM Wiki pattern. This repository has seen significant activity and boasts a high star count, indicating its popularity among developers seeking to create persistent and compounding wiki vaults.
amitshekhariitbhu/llm-internals (Growth Score: 26.77, Stars: 961) provides an educational resource for learning LLM internals step-by-step, covering topics from tokenization to inference optimization. This repository's moderate growth score suggests ongoing interest in understanding the inner workings of language models.
DestinyLinker/MingLi-Bench (Growth Score: 25.82, Stars: 483) presents a unique benchmark for evaluating LLMs on traditional Chinese fortune telling methods like Bazi and Ziwei Doushu. This repository's growth score indicates increasing interest in exploring the potential of language models in these areas.
JackLuguibin/OpenPawlet (Growth Score: 22.58, Stars: 102) offers a single-process web console for the OpenPawlet ecosystem, providing an HTTP API, browser UI, and embedded agent runtime. This repository's growth score suggests that developers are taking notice of this comprehensive solution.
Lastly, skyllwt/OmegaWiki (Growth Score: 20.87, Stars: 509) brings Karpathy's LLM-Wiki vision to life with a fully realized wiki-centric full-lifecycle AI research platform powered by Claude Code. This repository's moderate growth score indicates ongoing interest in exploring the potential of wiki-based knowledge bases for language models.