Trending archive for Oct 18, 2026

rust-lang/rust

The core repo behind Rust's compiler and standard library — This is the main source for the Rust compiler, standard library, and docs. It bundles tooling like Cargo, rustfmt, Clippy, and rust-analyzer, aimed at developers wanting memory and thread safety without sacrificing performance.

Empowering everyone to build reliable and efficient software.

fyzugx/DEsk

A Wayland desktop that renders your screen as a literal desk — DEsk is a Linux Wayland desktop environment using realistic skeuomorphic design, like iOS 6: windows are paper, the dock is a drawer, apps sit in binders, notifications arrive by post box. Now at v0.1.2 beta with installers for Debian, Ubuntu, Arch and Fedora, it's for Linux users wanting a playful, tactile alternative to flat desktop UIs.

openai/codex

OpenAI's terminal-native coding agent, now with IDE and app options — Codex CLI runs locally in your terminal as a coding agent from OpenAI, installable via curl, npm, or Homebrew. The same Codex experience extends to VS Code/Cursor/Windsurf via an IDE plugin, a desktop app, or a cloud-based version at chatgpt.com/codex.

Lightweight coding agent that runs in your terminal

tywr/Nordwand-Mono

A Python-built monospace font blending Univers with JetBrains Mono proportions — Nordwand-Mono is a coding font designed from scratch in Python, merging the classic Univers neo-grotesque with JetBrains Mono's compact proportions. It offers alternative character styles, stylistic sets for ligatures and wide-angled brackets, and lets you compile a customized version by editing a config file. Good fit for developers who want a hackable, Swiss-inspired terminal font.

A compact monospace neo-grotesque font designed for developers (and adventurers).

android/ndk

Where Android's native-code toolkit tracks its roadmap and bugs — This is the public issue tracker and milestone hub for the Android NDK, which lets developers bundle JNI-compiled native code into Android apps. Actual source lives in AOSP; here you can see upcoming milestones, the longer-term roadmap, and RFCs for in-progress features open for community feedback.

The Android Native Development Kit

refraction-networking/utls

A Go TLS fork that lets ClientHello mimic other clients — uTLS forks Go's crypto/tls to expose low-level control over the ClientHello message, enabling fingerprint mimicry or randomization while the handshake itself still runs through crypto/tls. It targets anti-censorship tool builders who need to avoid Golang's distinctive, easily blockable TLS fingerprint.

Fork of the Go standard TLS library, providing low-level access to the ClientHello for mimicry purposes.

lwthiker/curl-impersonate

A curl build that mimics browser TLS and HTTP/2 fingerprints — curl-impersonate replicates the TLS Client Hello and HTTP/2 handshake settings of Chrome, Edge, Safari and Firefox, defeating fingerprinting used by sites to distinguish bots from real browsers. Usable as a CLI tool or libcurl replacement, it suits scraping, testing and privacy-focused clients facing fingerprint-based blocking.

curl-impersonate: A special build of curl that can impersonate Chrome & Firefox

FoxIO-LLC/ja4

A fingerprinting suite expanding beyond JA3 for network forensics — JA4+ by FoxIO extends TLS/network fingerprinting past the older JA3 method, adding JA4S, JA4H, JA4X, JA4T, JA4D and more for TCP, DHCP, HTTP and SSH traffic. Useful for threat hunters, malware analysts and security teams needing human- and machine-readable fingerprints for detection, tracking and compliance automation.

JA4+ is a suite of network fingerprinting standards

todesking/slopsampler

Cataloging the telltale phrases of AI-generated Japanese text — This project systematically generates Japanese text across multiple themes and language models, then analyzes the output to catalog word- and sentence-level patterns typical of 'AI slop' — like overused 'not A but B' constructions. Useful for writers, editors, or researchers studying how AI-generated Japanese differs from natural prose.

スロップすぎるよ展

google-research/harness2

Self-improving agent scaffolding without touching model weights — Harness² is a Google Research framework that recursively refines the prompts, tools, and orchestration around a fixed model. It uses a Propose-Probe-Compose loop to adapt the harness per task, plus a persistent improvement harness that carries lessons across tasks. Aimed at researchers building agents for open-world, unseen tasks.