GitHub listed fourteen projects this Thursday morning. Nine had been featured before, eight of them within the past week, and none of those eight showed a change big enough to bring it back, so all four picks are first-time entries. Macro leads as an open-source, all-in-one team workspace under the AGPL. Expo's official agent skills are for mobile developers, RuView turns cheap ESP32 boards into camera-free room sensors with unusually candid accuracy labels, and a 2019 Chinese book on teaching yourself to code rounds out the list. The remaining new entry, a collection of model jailbreak prompts, was left out again. Curation order reflects practical interest, not GitHub rank. Trending is not a release date or an endorsement.
Picks are listed in curation order, not GitHub’s rank; each card shows the rank GitHub displayed when the page was checked. Stars measure attention, not security, quality or fitness for use, and no project here was installed or run. “Stars today” is GitHub’s own displayed figure for its daily window, not an audited rolling 24-hour count.
Pick 1 · Productivity / team collaborationGitHub rank #5 of 14
What it does. An all-in-one team workspace that puts email, chat channels, tasks, collaborative Markdown docs, a canvas, recorded calls, file storage, linked pull requests and a CRM in one keyboard-first interface. Everything is @-linked in a shared graph, and a team-level AI memory, rebuilt nightly, is available to its own agent and to outside agents through MCP. It is built in Rust and SolidJS and offered as a hosted app with web, desktop and iOS clients, with the full source in this repository.
Caveat. The hosted app needs a Gmail or Google Workspace account, and its team memory is built from your email, messages and calls: a lot of sensitive data for one service. The documented local stack is a contributor setup, not a turnkey self-host: Postgres, Redis, Kafka, OpenSearch and more in Docker, with stubbed Google, GitHub and Stripe integrations, and the agent harness needs real Google OAuth. AGPL terms apply if you host a modified version for others. Security certifications are the company's claims. We did not install or test it.
Attention, not endorsement
GitHub showed
“117 stars today” as displayed for GitHub’s daily window; not an audited rolling 24-hour count
What it does. Expo's official agent skills for Expo and React Native apps: 24 SKILL.md guides listed in the README, covering Expo Router navigation, native UI and animation, data fetching, native modules, SDK upgrades and moving a web app to native, plus a separate group for the paid Expo Application Services (store builds and submission, over-the-air updates, hosting, workflows and observability). It installs as a Claude Code or Codex plugin, or through the skills CLI for Cursor, OpenCode and other agents.
Caveat. Useful only for Expo and React Native projects, and the services group assumes paid Expo Application Services. The Claude Code and Codex plugins also wire up Expo's MCP server, which can trigger builds and read crash data, and every skill tells the agent how to send feedback through an npx command that fetches Expo's agent CLI, so review what your agent may run. The skills are guidance, not tests of your app. We did not install or test them.
Attention, not endorsement
GitHub showed
“90 stars today” as displayed for GitHub’s daily window; not an audited rolling 24-hour count
What it does. A WiFi sensing platform that reads Channel State Information from low-cost ESP32-S3 boards to detect presence and movement, estimate breathing and heart rate, recognise activities and falls, and pass those states to Home Assistant, Matter, Apple Home and local automations, without cameras. It ships Rust firmware and services, a Python package, pretrained models on Hugging Face and a Docker demo that runs on simulated data.
Caveat. Real sensing needs ESP32-S3 or other CSI-capable hardware; the Docker image uses simulated data, and ordinary laptops give presence only. The README calls it beta software, and its health uses are research prototypes, not medical devices. Accuracy figures are the maintainer's own, sensing people through walls raises consent and privacy questions, and the README also promotes the maker's roughly 140-dollar Cognitum Seed hub and an affiliate programme. We did not install it or download its models.
Attention, not endorsement
GitHub showed
“557 stars today” as displayed for GitHub’s daily window; not an audited rolling 24-hour count
Jupyter Notebook · License: CC BY-NC-ND 3.0 (stated in README)
What it does. Li Xiaolai's free Chinese-language book on teaching yourself, using Python programming as the way in. It is a book written as Jupyter notebooks: chapters on deliberate practice, coping with material full of forward references and avoiding focus drift alternate with a Python primer on values, control flow, functions, strings, files, classes, regular expressions and test-driven development. A Markdown version reads without Jupyter.
Caveat. Chinese only. GitHub detects no license; the README states CC BY-NC-ND 3.0, so you may share it non-commercially with credit but not distribute adaptations or translations. The Python chapters were written in 2019 with only small fixes since, so some details may be dated. It is a book, not a tool, and we did not run its notebooks.
Attention, not endorsement
GitHub showed
“148 stars today” as displayed for GitHub’s daily window; not an audited rolling 24-hour count
Every repository GitHub listed, in GitHub’s order, with the figures it displayed when the page was checked (): 4 picked today, 9 covered in an earlier digest, 1 not covered. For projects covered before, growth compares the total stars at our first pick with today’s displayed total.
TypeScript · 1,054 stars today · 3,449 stars in total
A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration.
Covered before — first picked 27 Oct 2026 at 1,697 stars; now 3,449: +1,752 stars (+103.2%) in 2 days, about 876 a day.
π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.
Every project picked in an earlier digest, biggest growth first. “Then” is the total at our first pick’s metadata check; “now” is GitHub’s API star count checked . Growth measures attention, not quality or safety.
All 14 listing entries were inspected. Exact primary public GitHub repository metadata and recent releases were checked for all 14 at about 07:01 UTC, and README files for the four picks; all were active and unarchived. Twelve had an API-detected license (one, nightly-labs/openbot, as NOASSERTION); togg53192-cmd/jailbreaks and xiaolai/the-craft-of-selfteaching had none, and the latter's README states CC BY-NC-ND 3.0.
Eight entries featured in the previous seven days were left out without a material change: elayadesign/ai-design-skills, obra/superpowers and HKUDS/DeepTutor (28 October), nightly-labs/openbot (27 October), JetBrains/thinkrail (26 October), Nutlope/hallmark, pbakaus/impeccable and makecindy/cindy (25 October). Since those cards they show nightly or beta builds, patch and feature releases, new themes or no new release.
HKUDS/DeepTutor released v1.7.0 on 28 October, after yesterday's card: modular installation (the bare deeptutor package now installs core only; the full app is deeptutor[full]), a block-based learning notebook and narrated video lessons. We note it here rather than repeat a card one day later.
hmjz100/LinkSwift (featured 17 October) was not repeated: its latest release, v1.1.3 of 18 February, predates that card, and recent commits are small fixes.
togg53192-cmd/jailbreaks, a collection of prompts written to override model safety policies, was again not picked: GitHub detects no license, and its purpose is to defeat safeguards rather than to serve as a practical tool.
The preceding seven calendar dates, 22-28 October, were checked for local history; all seven editions exist.
The official listing was captured at 08:00:34 Europe/Paris. Literal stars-today labels are GitHub's displayed period figures; API total stars and README evidence were checked separately at the times shown per card. They are not an independently audited rolling 24-hour growth measurement.
Feature, accuracy, security and performance claims are the maintainers' own, including RuView's model accuracy figures and Macro's security certifications. No candidate code, installer, skill, plugin, firmware or model was installed, downloaded or run, and none of this is a security audit or endorsement.