AI page
Repos people are talking about
Ranked by growth inside the window: stars and forks gained, percentage growth, mentions, and how recently the code was pushed. Size alone counts for nothing. Each repo read and explained by AI.
- 1
CLM is a Python library serving Contrastive Language Model-8B, a model trained contrastively to connect states and actions for fast 'System One' decision-making. It exposes a TypeSafe-compatible API for scoring states, asking typed questions (boolean/choice/score), and ranking candidate answers. A vLLM embedding server plus a small 75 MB reference head make serving lightweight, with cached state/action embeddings for low latency.
Why now: It just launched as a highly starred new repo (v0.1, ~1.5k stars within a day), claiming performance on par with a rival 'Jev' at up to 9× lower latency and new SOTA verifier results on Terminal-Bench 2.1 and DeepSWE, plus an open invitation to benchmark it.
- 2
disktree is a desktop disk-usage analyzer that scans a disk (your home directory by default) and draws every directory as a nested treemap sized by real disk cost. You navigate with keyboard or mouse, mark folders and files to delete, review the list, then commit — with free space always visible. Built in Rust with GPUI, it integrates with the Omarchy desktop theme.
Why now: It's trending on GitHub's most-starred new repos, gaining over 1,200 stars within roughly a day of its first release — likely driven by its polished treemap UI and Omarchy association.
- 3
Tidewater is a browser-based island fishing game running directly on WebGPU/WGSL with a custom-built rendering engine and no framework. You fish from piers, beaches, or a boat, sell your catch, upgrade gear, and explore a tropical island featuring an FFT ocean simulation, physically based atmosphere, volumetric clouds, and wildlife like a breaching humpback whale.
Why now: It's trending as a newly starred repository, notable for being built with 'Opus 5.5' (an AI model) and demonstrating an ambitious custom WebGPU engine with advanced water, sky, and lighting rendering in JavaScript.
- 4
magpie is a menu-bar app (plus TUI and CLI) that shows every AI coding agent installed on your machine—Claude Code, Codex, Gemini CLI, OpenCode, and more—with the model each is currently set to. Click an agent's model to swap it; magpie edits the right config file surgically, runs a local API-translating gateway so any agent can use any provider, and shares logins across agents.
Why now: It's trending among newly starred repos, riding interest in mixing coding agents with cheaper third-party models (e.g., Codex on DeepSeek, Claude Code on Kimi).
- 5
text-humanizer is a free, open-source Python tool that rewrites AI-generated text to sound more natural and evade AI detectors. It runs a multilingual pipeline: DeepSeek rewrites the text via a Chinese intermediate representation, optional Google Translate and DeepL steps add cross-lingual variation, and a final DeepSeek pass reconstructs fluent text in the original language across 8 supported languages.
Why now: It recently appeared among the most-starred new repositories, gaining attention for openly advertising AI-detector bypass (ZeroGPT and similar), a topic that draws both interest and controversy.
- 6
GoLive is an open-source Agent Skill plus zero-dependency Node CLI that helps you launch apps built by coding agents. It detects what your project needs, proposes a plan, waits for your approval, applies hosting, database, domain, DNS, email and payments setup using your own provider accounts, then verifies results and can tear everything down. No GoLive account, backend or telemetry.
Why now: Trending on GitHub's most-starred new repos, riding interest in agent-driven deployment: it tackles the gap between an agent building an app and actually shipping it, with an approval-first trust model.
- 7
Source code for a fully AI-generated music video of the song 'I'm Upping My P(doom)', created by Claude Opus 5.5 in Claude Code. The model wrote all the code, storyboard, and animation guide itself — using p5.js and p5.brush to paint frames, then rendering them via headless Chrome and ffmpeg into an MP4 with the song.
Why now: It's trending as a showcase of agentic AI creativity: an entire music video generated end-to-end by Claude with no scene direction from a human, plus a follow-up general-purpose animation base repo.
- 8
An open-source Python pipeline that turns long YouTube videos into vertical 9:16 short clips. It downloads the video, transcribes it locally with faster-whisper, uses an LLM (OpenAI, Gemini, or MuAPI) to rank highlights by 'virality' score, dedupes candidates, and auto-crops ready-to-post shorts with subtitles, optional hooks, translation, and voiceover — with no watermarks. Usable via CLI, a local web UI, or an API.
Why now: Trending on GitHub as a most-starred new repo, positioned as a free alternative to paid SaaS tools like OpusClip and Vidyo.ai.
- 9
Jev 聊天助手 is an Android 'conversation copilot' that reads the chat currently on your screen (via accessibility services, no app hooking or repackaging), uses LLMs to analyze the other person's intent and draft candidate replies, then fills them into the input box — you decide whether to send. It supports QQ, X DMs, and Feishu (with OCR fallback), and lets you configure your own model APIs.
Why now: It's trending on GitHub's most-starred new repos (~6.7k stars days after its September 2026 release), notable for its non-invasive screen-reading approach and its decision-then-draft pipeline.
- 10
Shapeshift is a TypeScript UI component where a single text box dynamically morphs into the right interface as you type — an event card, checklist, timer, color picker, bill splitter, converter, poll, and more. Intent classification is done by the TypeSafe Jev model (or a built-in offline keyword classifier), while dates, amounts, and math are handled by deterministic code.
Why now: It's newly created and rapidly starred on GitHub's trending list, with a live demo and a 60-second video showing the morphing input in action.
- 11
ZCode is an AI coding workbench from Z.ai that ships as a desktop app, browser-based interface, and terminal agent. The monorepo includes the client, backend services, shared UI, and the source for its Agent CLI and runtime, which can run a TUI or local web UI via a single `zcode` command, with optional SSH/WSL remote workspace support.
Why now: Recently released v3.14.3 and quickly climbing GitHub trending with ~6.8k stars within days of the repo's creation.
- 12
A demo repo showcasing Claude Opus 5.5's code-generation ability: three playable 3D web games (a pelican biking game, an FPS map recreation, and a drift racing game) each generated from a single one-sentence prompt in one session, with zero human edits to the code. Games are built with Three.js and esbuild into single-file HTML pages deployed on Cloudflare Pages.
Why now: It's trending as a viral one-shot demo of Claude Opus 5.5's capabilities, with playable deployed games serving as proof.
- 13
Laya is a Python library that makes fast, single-forward-pass decisions over text — yes/no answers, scores, or choices from typed options — in 100+ languages. Instead of generating tokens like an LLM, it uses non-autoregressive checkpoints (ModernBERT-based) trained with RL, plus a router that automatically picks the right model per request, running in tens of milliseconds.
Why now: It's trending as a newly released, heavily starred project, amplified by a dev.to article where the author says a frontier lab validated his earlier non-autoregressive decision-model idea.
- 14
Search is a lightweight, free macOS web browser built on WebKit, made by design studio Office Commun. It strips browsing down to tabs and a single address/search field, with built-in ad blocking, reading mode, element hiding, picture-in-picture video, keychain password storage, and support for Chrome extensions via WebKit's extension engine. No accounts, sync, or telemetry; about 3 MB in size.
Why now: It was featured on Hacker News, likely drawing attention as a minimalist alternative to bloated browsers like Chrome and Arc, with Chrome extension support on WebKit as a notable hook.
- 15
AnyJev is a Python library that converts any LLM into a calibrated decision model without fine-tuning. It wraps language models to produce typed decisions with real probability distributions (e.g. routing a ticket to billing/technical/sales), fixing order-flip instability and improving calibration. It supports multiple levels, vLLM serving, and fitting a lightweight head with as few as 100-500 labels.
Why now: It recently appeared on GitHub trending as one of the most-starred new repos, with an active vLLM integration making calibrated LLM decision endpoints easy to deploy.
- 16
DeepOpen is an open-source, non-autoregressive 'System 1' decision engine for structured decision tasks like classification, routing, and scoring. Instead of generating text token by token, it produces outputs in a single forward pass, supporting 100+ languages with millisecond-level latency, built on three specialized checkpoints with an automatic router, trained via RLCD reinforcement learning.
Why now: It recently appeared on trending 'most starred new repos' lists and claims strong leaderboard results on the Banking77 and CLINC150 intent-classification benchmarks, with reproducible one-click pipelines.
- 17
kryvora-node is a Go daemon that connects your machine to Kryvora Network, a decentralized physical infrastructure network (DePIN). The daemon runs a worker engine for task execution, a telemetry daemon that performs probes, and reports proof of availability via mutual TLS heartbeats and verification probes to a central Coordination Hub. Running a node requires an on-chain Genesis Node Key on Arbitrum One.
Why now: It's a brand-new repository trending on GitHub for stars, suggesting recent launch buzz around the Kryvora DePIN network. Note that node operation requires obtaining an on-chain soulbound credential and bootstrap token.
- 18
Kev is a family of small open decision models built on Qwen3.5/3.8, following the Jev architecture. They answer yes/no, multiple-choice, and rating questions with calibrated probabilities. You can use pretrained weights in four sizes (0.8B to 27B), fine-tune on your own labeled data, and serve them locally or with a one-command deploy that scales to zero.
Why now: It's an open, self-hostable drop-in replacement for TypeSafe's hosted Jev API — the TypeSafe SDK works unchanged — and benchmarks show the 27B model approaching Jev's accuracy.
- 19
Jev Ultrafast is a Python browser agent that completes a natural-language goal by controlling a real Chrome browser. Instead of a large model choosing free-form actions, it builds an indexed table of page elements and uses one TypeSafe API call to pick an operation (click, select, scroll, wait) and target, with a small LLM only generating text for typing. The README demos a Google Flights search in ~7 seconds.
Why now: It recently appeared on GitHub's 'new repos, most starred' lists with over 20,000 stars in days, driven by a viral speed demo and the opening of the Browser Use Cloud waitlist.
- 20
apk-reverse is an Agent Skill for Android APK reverse engineering. Rather than a tutorial, it's a structured procedure meant to be loaded by AI coding agents (Claude Code, Codex, etc.), guiding them through debloating, ad removal, dex patching, repacking, and runtime/server analysis using override rules, gates, symptom indexes, and helper scripts to prevent agents from making repeated mistakes.
Why now: It's trending as a newly created, heavily starred repository, notable for its novel approach of encoding reverse engineering workflows as agent-consumable skills with guardrails against typical LLM failure modes.
- 21
Unreal Agent is a Go library for building LLM agents around an async-first architecture. It provides durable, idempotent input handling, append-only forkable session history, tool translators that validate model calls without I/O, and an actor-based operation manager for durable asynchronous work. Components are interface-based and swappable, e.g. proxying operations to remote sandboxes.
Why now: It recently appeared as one of the most-starred new repos, gaining ~2k stars within days of release.
- 22
Compositor is a free, open-source image editor for Mac built in Swift as a Photoshop alternative. It focuses on compositing and post-processing workflows, offering layers, masks, adjustment layers, selections, painting and retouching tools, filters, and a Camera Raw-style panel, with the full Xcode project available so anyone can modify features.
Why now: It has been rapidly gaining stars on GitHub as a trending new project, tapping into frustration with Adobe's pricing and promising a familiar, genuinely full-featured free alternative on Mac.
- 23
Bespoke Nimble is an open recipe for building a fast, typed classification model. Given text and a schema of questions (multiple-choice or true/false), Bespoke-Nimble-9B returns each answer with per-choice probabilities in a single step, no chain-of-thought reasoning. The repo covers contrastive data curation, LoRA fine-tuning of Qwen3.5-9B, and serving, runnable on Apple Silicon or NVIDIA GPUs.
Why now: It's trending as a new, highly starred open replication of TypeSafe's Jev System One model, with a recently released 9B checkpoint, public training data, and a shared benchmark suite.
- 24
mini-AGI is an experimental byte-level language model that learns continually from a single stream of data without catastrophic forgetting. It trains from scratch on a single 8GB VRAM GPU, stores weights as files on disk and pages them to the GPU as needed, grows new capacity when short, and prunes unused parts. The README notes it's a toy-level experiment, with weights not yet published.
Why now: It was featured on Hacker News as a 'Show HN' post, likely attracting attention because it demonstrates continual learning on modest consumer hardware — a challenge to the assumption that training requires massive resources.
- 25
A curated 'awesome list' of public projects and developer patterns built on Jev, TypeSafe AI's System One model for typed decisions. Jev isn't a chat model — it takes unstructured state plus a typed question and returns a typed decision (choice, score, boolean) with confidence, acting as a fast, low-latency decision layer for classification, routing, scoring, verification gates, and agent guardrails.
Why now: Jev appears to be a recently launched model generating scattered discussion, and this list aggregates production uses and transferable patterns; it is trending as a newly created, most-starred repo.
- 26
awesome-jev is a curated list of public projects, integrations, and discussions that use Jev — TypeSafe AI's 'System One' model that turns unstructured state plus a typed question into a typed decision (choice, score, or boolean) with a confidence value. The list organizes real-world usage by category and application domain, with strict inclusion rules and explicit warnings that listing is not endorsement.
Why now: It appeared among the most-starred new repos, likely riding interest in the Jev launch and its typed-decision approach; it also explicitly addresses controversy around bulk, low-quality submissions.
- 27
Awesome Jev is a community-maintained, MIT-licensed catalog listing 916 verified open-source projects built with Jev, TypeSafe AI's model for typed decisions in software. Entries are organized into 11 categories (agent tooling, applications, benchmarks, etc.) across 27 languages, with each listing pointing to concrete evidence of how Jev is actually used.
Why now: It's trending as one of the most-starred new repos, actively updated (20 projects added September 25) amid growing ecosystem interest around Jev and Jev-like models.
- 28
A single-file HTML reader for the open-source Chinese book 《高性价比人生指南》(How to Live Better). It renders all 32 sections and 528 tips as searchable cards showing evidence grade, cost-effectiveness tier, and plain-language explanations. It's fully self-contained—no CDNs or network needed—works offline on phones, includes dark mode, filtering, and daily auto-rebuilds from the upstream book repo.
Why now: It's trending as one of the most-starred new repos, riding interest in the original public-domain book by offering a zero-dependency, mobile-friendly reading version.
- 29
OpenMuse is an open-source personal AI agent template built with CopilotKit and AG-UI for iOS, Android, and web. It gives the agent its own computer—a persistent Chromium browser, optional Linux terminal, and file workspace—so you can ask for an outcome, review its plan and actions, and pause, resume, or take over the browser session yourself.
Why now: Freshly released and gaining traction on GitHub's most-starred new repos, backed by 38-second mobile and web demos showing the agent browsing and handling email.
- 30
Splash is a local LLM inference engine for Apple silicon Macs, written in C++ with Metal kernels and DFlash 2 speculative decoding. It runs coding agents and OpenAI/Anthropic-compatible apps on one machine, with vision, tool calling, a built-in chat page, prefix caching, automatic memory planning, and optional KV cache offload to SSD.
Why now: It's trending on GitHub's most-starred new repos shortly after release, and its README references a fresh DFlash 2 blog post and an LM Studio integration guide, suggesting recent ecosystem buzz.
- 31
A set of Python-based agent 'skills' that offload small, frequent decisions from expensive frontier LLMs to Jev, TypeSafe's decision-only model. It handles model routing, memory filtering, prompt-injection screening, transcript compaction, skill selection, message triage, mailbox sorting, and computer/browser use. Skills ship as plain SKILL.md files, so they work with Hermes agents, Claude Code, Codex, or anything that reads skill files.
Why now: Recently created and climbing the most-starred new repos list, with freshly published evaluation scorecards showing strong injection-detection and recall results.
- 32
AirCard is a native Windows tool (Rust, ~7.5 MB single executable) that lets iOS 18+ users customize Apple Wallet card faces and apply lockscreen passcode keypad themes without jailbreaking. It detects cards in real time, applies custom artwork over USB or WiFi, and restores the original state afterward using a sync-based exploit.
Why now: It is trending among newly starred repos, likely due to offering no-jailbreak iOS customization on Windows with a lightweight native client.
- 33
WeChatBridge is a native macOS tool (Swift, sandboxed Share Extension) that adds WeChat's 'forward to other apps' targets so users can send multi-selected chat records—exported by WeChat as a ZIP of text, images, and video—straight to AI agents like Codex, Claude, Doubao, or to Obsidian as Markdown notes, the clipboard, or custom apps. Everything stays local: it reads only WeChat's own exported files, never the WeChat database.
Why now: Recently released a Developer ID signed and notarized 0.1.14 DMG and gaining stars on GitHub trending, riding interest in piping chat context into AI agents.
- 34
Laya-MLX is a native Apple Silicon (MLX) runtime for Laya typed decision models: instead of generating text, it returns structured answers (e.g. picking a department from a choice list) for short English questions. It runs fully locally with no PyTorch, Transformers, or cloud API, achieving ~13 ms median latency (7.4 ms multilingual) on an M3 Max, with a pip-installable Python API and a Snake-game demo.
Why now: It's trending among newly starred repos, likely due to the low-latency local typed-decision demos (Snake at 75 moves/s) and benchmark claims versus text-generation approaches.
- 35
Jianying Headless is a local automation tool for Jianying Pro (剪映) on macOS that turns structured JSON editing plans into editable drafts with multi-track video, audio, text, keyframes, and effects. It can modify existing projects in isolated copies and export verified H.264/AAC MP4s via the native Jianying engine, with a bundled Agent Skill and CLI. A Windows FFmpeg export path exists but doesn't produce editable drafts.
Why now: It's gaining stars as a trending new repo, showcasing a validated 23-track Hypit-to-Jianying project handoff that passed full 1507-frame native export checks — notable for AI-driven video editing workflows.
- 36
AgentRun is a JavaScript/TypeScript DSL for defining AI agent workflows as explicit, repeatable steps. Instead of letting an agent improvise, you declare nodes for tool calls, focused decisions (via a 'Jev' judge), and agent invocations, with schemas, deadlines, thresholds, and escalation paths. It ships as an npm interpreter with a TypeScript builder, Zod contracts, parallel mapping, loops, and sub-workflows.
Why now: It was just launched on Hacker News as a Show HN, positioning itself as a structured alternative to free-form agent loops.
- 37
TypeLLM is a Python library that adds type-safe, schema-constrained generation to existing autoregressive LLMs served via SGLang, without modifying model weights. It guarantees outputs like strings, integers, booleans, and enums stay within a JSON Schema, with low token overhead, shared-prefix KV caching, dependency graphs between fields, optional per-field thinking mode, image input, and permutation averaging to reduce option-order bias.
Why now: It's trending on GitHub's most-starred new repos, with rapid daily updates, strong JevBench results (228/231 with thinking), and a recent image-input release.
- 38
Von is an open-source, non-autoregressive 'System One' decision model for fast classification, routing, and guardrail-style tasks. Instead of generating text token-by-token, it scores discrete/probabilistic options in a single forward pass, delivering sub-25ms decisions with calibrated uncertainty. Version 1.2 adds order-invariant option scoring, fixing answer flips under option reordering, plus Intel GPU acceleration via OpenVINO.
Why now: A fresh 1.2 release fixing an order-sensitivity defect, demonstrated with a Doom gameplay demo, is drawing attention on the most-starred repos list.
- 39
Laya-CoreML runs the Laya typed-decision model entirely on-device on Apple Silicon via Core ML and the Neural Engine, returning calibrated probabilities for multiple-choice, score, and boolean questions with no token generation. It includes a local Snake game demo, a Python API, and reproducible latency and energy benchmarks (~5 ms per short decision on M3 Max).
Why now: It's trending as a newly popular repo showcasing validated on-device inference with notable energy-efficiency wins over MLX, though the authors note the claimed 10x speedup was not achieved.
- 40
typesafe-computer-use (jev) is a macOS (Windows experimental) computer-use agent that drives your real mouse and keyboard toward a goal typed in plain English. Instead of asking a frontier model at every step, it OCRs the screen and lets a small TypeSafe classifier pick the next action, reserving a writing model only for free text. README claims ~$0.0002 per decision, with facts computed in code, not by the model.
Why now: It's trending as a newly most-starred repo making a bold cost/speed comparison: the README benchmarks its classifier loop against a frontier model (Claude Opus 5) at 130x–390x cheaper and 3.7x faster per step, while candidly noting reasoning must be rebuilt as deterministic code.