Top 10 GitHub Trends 2026-10-13—Analysis Agent with 45,000 Stars in One Day｜あかねさす
Top 10 GitHub Trends 2026-10-13—Analysis Agent with 45,000 Stars in One Day
Today’s lineup is filled with “tools for how to use AI”
Out of the top 10, 7 repositories deal with AI agents or inference itself. The languages are TypeScript (3), Python (3), and one each for Rust, C++, JavaScript, HTML, and Jupyter Notebook.
Looking at the numbers alone, the first place is far ahead. However, the second place and below also feature tools that approach “how to interact with AI” from different angles. Let’s look at them in order.
1st place: morluto/rea—Analyze everything from app behavior to native binaries
`morluto/rea` is a TypeScript-based tool for letting agents perform reverse engineering. The description says, “Reverse engineer anything with agents, from app behavior down to native binaries.” The concept is to have agents handle everything from observing app behavior to deciphering the contents of native binaries.
The cumulative star count is 158,325, with 36,728 forks. It gained 45,327 stars today alone. This is a significantly larger increase than the second place and below in today’s top 10, and it appears to be the type of growth that suddenly appears with huge numbers rather than being a regular at the top of the trends.
Why it is growing now cannot be determined from the given data. However, if you line up the description “let agents analyze” and the fact that it is written in TypeScript, one can read it as the process of delegating analysis steps themselves to agents gaining attention.
The author, morluto, only writes “member of technically staff” in their bio. They have 3,412 followers. Since no past repositories are presented in this data, their track record cannot be supplemented here.
Contributors include N0zoM1z0, kaoru0822-kitauji, claude, and rudycelekli, in addition to morluto themselves. The fact that an agent name is in the contributor list itself expresses the nature of this repository.
2nd place: bilawalsidhu/gods-eye-view—A reconnaissance satellite simulator with real data
`bilawalsidhu/gods-eye-view` is a reconnaissance satellite simulator that runs in a browser. However, as the description clearly states “except the data is real,” the displayed data is authentic. You can view open-source spatial intelligence live on a photorealistic 3D globe.
The language is JavaScript, with 53,707 cumulative stars and 10,609 forks. Today’s increase is 1,895 stars. It is not an explosion like the first place, but with nearly 2,000 added today to a cumulative total of over 50,000, it is steadily expanding its support.
The author, Bilawal Sidhu, says in their bio, “Connecting the world of bits & atoms. Blending reality & imagination. Building a god’s eye view of the world.” The blog is spatialintelligence.ai.
Past repositories include `bilawalsidhu/see-through-walls` (417 stars, Swift), which is a multiplayer AR that lets you “see” tracked targets through walls using a smartphone and Ray-Ban glasses. Their style of dealing with the boundary between reality and virtuality is consistent.
Contributors are samehkhamis, claude, asturksever, bilawalsidhu, and manjunath22466.
3rd place: mksglu/context-mode—Reduce agent context by 98%
`mksglu/context-mode` is a TypeScript-based tool that optimizes the context window of AI coding agents. According to the description, it sandboxes tool output to reduce it by 98%, persists session memory, and enforces routing across 17 platforms via MCP and hooks.
The cumulative star count is 27,303, with 1,945 forks. Today’s increase is 246 stars. While modest compared to the top two, it targets the kind of problems that “make a difference” for people who use agents daily.
The author, Mert Köseoğlu (mksglu), simply writes “building” in their bio. They have 634 followers. Their past repositories include `mksglu/hatice` (161 stars, TypeScript), an autonomous coding agent orchestration system, and `mksglu/browsirai` (50 stars), a tool described as “Your browser. Your sessions. Your agent.” It is clear that this is someone who consistently builds around the agent ecosystem.
The contributors include mksglu, github-actions, claude, ipedro, and ousamabenyounes.
4th place: storytold/artcraft—Tools for creators made with Rust
`storytold/artcraft` is an “intentional crafting engine” for artists, designers, and filmmakers. It is written in Rust, has 22,095 total stars, and gained 4,095 stars today, making it the most momentum-driven project outside the top three.
The ArtCraft account author describes themselves in their bio as “Open Source Tools and Models for Makers, Builders, and Creatives.” Past repositories include `storytold/wordcraft` (9,183 stars, Rust), a clean-room reimplementation of Microsoft Word, `storytold/cadcraft` (3,490 stars), and `storytold/deckcraft` (2,600 stars), continuing a trend of rebuilding standard software in Rust.
5th place: open-webui/open-webui—The standard AI interface
`open-webui/open-webui` is a user-friendly AI interface that supports Ollama, OpenAI API, and more. It is built with Python, has 155,020 total stars, and 22,640 forks. It gained 157 stars today, continuing to steadily accumulate stars despite its massive total.
6th place: cathrynlavery/diagram-design—Diagram design without relying on Mermaid
`cathrynlavery/diagram-design` is a diagram design tool for coding agents like Claude Code, Codex, GitHub Copilot, Cursor, Factory Droid, and Pi. It outputs 44 types of diagrams in self-contained HTML + SVG. The phrase “No shadows. No Mermaid slop.” in the description is quite assertive.
It is built with HTML, has 52,645 total stars, and gained 2,081 stars today. The author, Cathryn Lavery, writes in her bio: “Founder @bestselfco ($55M+ bootstrapped). Sold to PE in 2022. Bought it back 2024. Becoming AI Native & documenting as I go!”
7th place: lyogavin/airllm—2.8T model inference on a single 4GB GPU
`lyogavin/airllm` is a Jupyter Notebook-based project that runs 2.8T LLM inference on a single 4GB GPU. It has 37,549 total stars and gained 879 stars today.
The author, Gavin Li, writes “Anima AI Founder, CEO” in his bio. The contributor list also shows the names cursoragent and claude.
8th place: microsoft/BitNet—Official inference framework for 1-bit LLMs
`microsoft/BitNet` is the official inference framework for 1-bit LLMs. It is written in C++, has 40,920 total stars, and gained 97 stars today. It is published by the Microsoft account, whose bio is “Open source projects and samples from Microsoft.” While the daily gain is small, it has a foundation of over 40,000 total stars.
9th place: Alishahryar1/free-claude-code—Running multiple harnesses with free tokens
`Alishahryar1/free-claude-code` is a Python-based tool for using multiple harnesses like Claude Code, Codex, VSCode, Pi, and OpenCode with over 1.3 billion free tokens. It is described as usable from terminals, apps, IDEs, smartphones, and native browser sessions. It has 59,137 total stars and gained 626 stars today.
The author, Ali Khokhar, simply writes “Vibing…” in his bio.
10th place: Trends from today’s 10 items, seen alongside Alishahryar1
Looking at today’s top 10, tools that refine “how to use” AI agents stand out. `context-mode` for reducing context, `diagram-design` for generating diagrams, and `free-claude-code` for bundling multiple harnesses all deal with how to make models work, rather than the models themselves.
On the other hand, there was simultaneous growth in directions that push the limits of computation and analysis, such as analysis agents like `rea`, memory-efficient inference with `airllm`, and 1-bit inference with `BitNet`. By language, TypeScript and Python each had three entries, and the presence of Rust is also notable. The project that moved the numbers the most today was, as expected, the one in first place with 45,327 stars.
