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.
- 41
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.
- 42
Claude Code Action is a GitHub Action that brings Claude into your pull requests and issues. It activates on @claude mentions, issue assignments, or explicit prompts, and can answer questions about your code, review PR changes, suggest improvements, and even implement fixes or features. It runs on your own GitHub runners, supports multiple AI providers, and outputs structured results for automations.
Why now: The recent v1.0 release simplifies configuration and adds a migration guide for v0.x users, likely driving discussion.
- 43
SemIf is an open-source Python project that lets software make small semantic decisions (routing, retries, yes/no checks) using open LLMs like a 4B Qwen model, reading typed option probabilities directly instead of generating and parsing text. It reproduces the interface pattern of TypeSafe's closed Jev service and runs locally on a consumer GPU, Apple Silicon, or even CPU, with a browser demo.
Why now: It's trending as a popular open-source alternative to TypeSafe's closed Jev service — recently renamed from OpenJev, with active development, a no-waitlist browser demo, and 4.3k stars within a week of creation.
- 44
AirCard-iOS is a Swift/Rust app for iOS 27+ that customizes Apple Wallet card artwork, lock screen passcode dialer themes, and PosterBoard wallpapers directly on device without jailbreak. It talks to internal system services via a LocalDevVPN loopback tunnel, supports batch card flashing, .passthm theme import/export, .tendies wallpaper installation, and is sideloaded as an IPA via SideStore, AltStore, or TrollStore.
Why now: It's trending as one of the most-starred new repos, likely for showcasing on-device system customization without a jailbreak on iOS 27.
- 45
A TypeScript trading bot that runs an AI model (Jev) against the Kuru MON-USDC order book on Monad, posting a fresh post-only limit order every ~300 ms block to earn the spread rather than pay it. It streams decisions, quotes, fills, gas costs, and PnL to a dashboard via SSE, with a dry-run mode when no private key is set.
Why now: A brand-new, quickly-starred repo (2.4k stars within a day) demoing AI-driven block-by-block market making on Monad, with a live public dry-run dashboard.
- 46
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.
- 47
This repo holds the source scripts (mostly PowerShell/Packer) that build the virtual machine images used by GitHub-hosted runners for GitHub Actions and Microsoft-hosted agents for Azure Pipelines. It documents available images (Ubuntu, macOS, Windows, arm64 variants), the preinstalled software on each, image release dates, and how to propose changes or build the images yourself.
Why now: Ongoing discussion around image updates and deprecations (e.g., newer Ubuntu/macOS/Xcode images rolling out and older ones being retired), since teams' CI workflows depend on which tools are preinstalled
- 48
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.
- 49
Rizzo Flow is an open-source, fully local alternative to TypeSafe's hosted Jev service. It turns unstructured state into typed, probabilistic decisions (yes/no, choices, scores) without generating text tokens, using fine-tuned Spark-X2.5 models on llama.cpp. It exposes a Jev-compatible HTTP API, so existing client code only needs its URL changed to localhost.
Why now: Fresh fine-tuned weights (25 Sept 2026) improved accuracy and probability calibration on the typed-decisions benchmark, and it's trending among newly starred repos as a local, open-weights answer to Jev.
- 50
A curated awesome-list of open-source apps that replace paid SaaS products while running entirely in your own Cloudflare account using Workers, D1, and R2. Entries include Calendly-style booking pages, analytics, feedback boards, inboxes, and more. Each entry is audited: licences are read from licence files and Cloudflare bindings from deploy configs rather than trusting project descriptions.
Why now: It's trending as one of the most starred new repos, riding interest in deploying full apps to Cloudflare's free/cheap tiers instead of paying for SaaS subscriptions or VPS hosting.
- 51
A complete Lean 4 formalization of Michael Spivak's classic textbook Calculus, covering every definition, theorem, and problem from all 30 chapters and 9 appendices of both the 3rd and 4th editions. It uses Spivak's own definitions, proves results like the transcendence of e and π (some parts missing from Mathlib are supplied), and documents about sixty statements in the book that are false as printed.
Why now: It was shared on Hacker News as a Show HN post, notable for its completeness and for formally flagging errors in Spivak's printed text — including sixteen answer-section mistakes.
- 52
git-bug is a bug tracker embedded directly in your git repository. Issues are stored as git objects, so you can push and pull them via your normal remotes, work fully offline, and avoid dependence on external services. It offers a CLI, terminal UI, and web UI, plus bridges to sync with other bug trackers and a GraphQL API.
Why now: It was featured on Hacker News, drawing renewed attention to its distributed, offline-first approach to issue tracking.
- 53
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.
- 54
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.
- 55
A GitHub repository collecting real AI engineering interview questions from 35 top companies (Anthropic, OpenAI, Google, Meta, NVIDIA, Databricks, Cursor, and more), organized company by company. It also groups questions by topic like LLM internals, inference and GPU performance, RAG, agents, fine-tuning, evaluation, safety, and AI system design, with answers linked where available.
Why now: It recently trended on GitHub as a new, highly-starred repo, reflecting strong demand for AI/LLM engineering roles and interview prep material.
- 56
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.
- 57
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.
- 58
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.
- 59
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.
- 60
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.
- 61
A Claude Code plugin and npm library that replaces lossy LLM-based context compaction with verbatim pruning: instead of summarizing old turns, it scores every tool call and result in fast API requests and deletes or truncates only the stale ones. Kept user and assistant text stays verbatim, recent messages are pinned, and it can also be used as a standalone TypeScript package.
Why now: It appeared among the most-starred new repos, likely because it offers a fresh alternative to lossy context-window compaction in Claude Code workflows.
- 62
A fork of llama.cpp that adds tiered KV-cache memory: completed KV blocks live in host RAM, and a small bounded GPU window is filled with relevant retrieved blocks per step. This lets large-context models like Qwen3.8-27B run at full 256K context on a 16 GiB GPU with near-lossless quality, served via an OpenAI-compatible chat server.
Why now: Recently at the top of trending repos with a new v0.16.0-rc3 prebuilt release, plus benchmark comparisons against KV-cache streaming showing 32-33 tok/s decode on an RTX 5060 Ti.
- 63
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.
- 64
Plexo is a cross-platform desktop download manager (Windows, macOS, Linux) that speeds up file downloads by splitting them into byte-range chunks and downloading them in parallel over multiple network interfaces at once — such as Wi-Fi, Ethernet, USB-tethered phones, or cellular — aggregating their bandwidth into one faster transfer. It auto-detects network interfaces and dynamically scales worker connections per interface.
Why now: It recently appeared among new, most-starred GitHub repos, likely driven by its demo video and the unusual trick of aggregating bandwidth across physically separate internet connections.
- 65
Jev-Code-Reviewer is a local CLI tool plus Chrome extension that reviews GitHub pull requests written by coding agents. It classifies each diff hunk into P0/P1/P2 priorities so humans only see the critical changes by default, shows diffs as natural-language explanations powered by OpenAI, and runs entirely on your machine—nothing is posted to GitHub.
Why now: It was discussed on Hacker News, tapping into the controversy about agents dumping huge PRs (230-file changes) that humans 'YOLO merge' without real review.
- 66
jevmem is a TypeScript tool that automatically saves decisions, constraints, bugs, and todos from your Claude Code, Cursor, or Codex chats into a JEVMEM.md file, then injects the relevant lines back into context in later sessions. Old decisions are marked superseded rather than deleted, and lines from other sources are checked before recall.
Why now: A v0.5 release just landed, adding Claude Code plugin install, a memory-poisoning check on recalled lines, async background saving, and imports for existing CLAUDE.md/AGENTS.md files; it was also mentioned on Hacker News.
- 67
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.
- 68
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.
- 69
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.
- 70
NanoJev is a small open-source Python replica of Jev, a 0.6B 'parallel decision' model. Instead of decoding tokens, it takes game states and questions and directly outputs probability distributions over 2–255 candidate choices. The repo includes an end-to-end training pipeline, datasets, and a single checkpoint that plays ViZDoom, Maze, and Snake.
Why now: A recent update (Sept 20, 2026) showed one checkpoint beating the original Jev on ViZDoom benchmarks, with side-by-side browser replays comparing NanoJev, Jev, and untuned Qwen — driving attention on trending repos.
- 71
treepeat is a Python CLI tool that detects duplicate and similar code in a codebase using tree-sitter AST analysis plus locality-sensitive hashing. It offers three normalization levels (exact duplicates, near-duplicates ignoring strings/whitespace, and structurally similar code with anonymized identifiers), adjustable similarity thresholds, side-by-side diffs, and SARIF output for CI integration.
Why now: It was featured in a Show HN post, where the author presented it as a proof of concept and invited pull requests to support more languages.
- 72
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.
- 73
virtio-nvgpu is an experimental Rust-based virtio device that forwards NVIDIA kernel driver ioctls between a KVM guest and the host at the driver ABI level. The guest runs unmodified NVIDIA user-mode drivers, targeting headless GPU streaming where a compositor in the VM renders and encodes H.264 on the host's GPU. Benchmarks show guest performance within ~2% of bare metal for game-sized frames, with several guests sharing one card.
Why now: It was featured on Hacker News, and it's remarkable because it claims near-native (within 2%) NVIDIA GPU performance in VMs without GPU passthrough — long a pain point for cloud gaming and virtualization.
- 74
Astra Flash Orchestrator is a Python-based Codex workflow that splits AI coding labor by cost: Astra handles planning, architecture, and final review, while the cheaper DeepSeek V4.1 Flash does the bulk implementation, testing, and debugging. It packages work into coherent task bundles, collects evidence, and includes reversible, dry-run installation, with OpenCode support.
Why now: It's trending on GitHub's most-starred new repos, boosted by benchmark claims of ~98% lower cost per 1K lines versus an all-Astra workflow.
- 75
Window Sweaters is a playful macOS menu-bar app that draws knitted-style borders around your windows, like dressing them in tiny sweaters. It offers hand-designed colourways for dozens of popular apps, icon-based colour matching for everything else, and menu-bar controls for styles, border width, and per-app on/off settings. Requires macOS 13+; still a personal work in progress.
Why now: It's a charming, whimsical desktop-customization tool gaining stars on GitHub's trending lists, notable for its quirky concept and the unusual suggestion to install it via a coding agent.
- 76
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.
- 77
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.
- 78
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.
- 79
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.
- 80
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.