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开源项目

🔥 xuanyustudio / LocalMiniDrama - 🎬 seedance2接入 开源本地 AI 短剧 & 漫剧生成工具 —— 从故事到成片一站式完成,数据不出本机,短剧工作

GitHub热门项目 | 🎬 seedance2接入 开源本地 AI 短剧 & 漫剧生成工具 —— 从故事到成片一站式完成,数据不出本机,短剧工作流管理平台,高灵活度,AI真人剧,AI漫剧本地搞定。 Open-source local AI short drama maker: story → storyboard → video, fully offline, your data stays yours. 纳米流水线 | Stars: 512 | 18 stars today | 语言: JavaScript

2026-06-02 原文 →
开源项目

🔥 orangecoding / fredy - ❤️ Fredy - [F]ind [R]eal [E]state [D]amn Eas[y] - Fredy keep

GitHub热门项目 | ❤️ Fredy - [F]ind [R]eal [E]state [D]amn Eas[y] - Fredy keeps searching for new apartments, houses, and flats in Germany on platforms like ImmoScout24, Immowelt, Immonet, eBay Kleinanzeigen, and WG-Gesucht and instantly delivers the results to you via Slack, Telegram, Email, Discord or ntfy, so you can focus on the more important things in life ;) | Stars: 1,038 | 41 stars today | 语言: JavaScript

2026-06-02 原文 →
AI 资讯

We Scanned 100 AI Repos on GitHub. Here's What We Found.

We Scanned 100 AI Repos on GitHub. Here's What We Found. A drone firmware project with 3× more stars than the real one. A crypto protocol that turned GitHub into a points farm. A README with 6,289 stars and 2 commits. As a developer turned architect, I used to treat GitHub stars as a proxy for trust. More stars meant more legitimate, fewer reasons to question before cloning. That instinct got me thinking. So I built TrustStar , audited hundreds of repos, and found that some people had figured out that instinct before me. Here's what the data showed. Case 1: The Airdrop Farm (QuipNetwork) 🔴 DANGEROUS Repository Stars Forks Fork/Star ratio hashsigs-py 11,200 9 0.0008 hashsigs-rs 11,300 42 0.0037 hashsigs-ts 11,300 31 0.0027 hashsigs-solidity 11,300 33 0.003 quip-protocol 11,645 159 0.014 ethereum-sdk ~11,400 72 0.006 cpp-sdk ~11,300 44 0.004 Six repos in completely different languages (Python, Rust, TypeScript, Solidity, C++) all converging on exactly ~11,300 stars. Projects with genuinely different audiences don't do that. The mechanism was on their own website: "Each GitHub repo star earns 5 QUIP points." QuipNetwork launched a crypto airdrop in early February 2026. Users who wanted QUIP tokens starred every repo in the organization. 11,000 stars in 48 hours, after five months of zero activity. The tell: dashboard.quip.network has 2 stars. nodes.quip.network has 2 stars. The repos they forgot to include in the airdrop show the real numbers. This is the first documented instance of a crypto airdrop using GitHub as a gamification layer. These aren't bots. They're real users who just wanted tokens. Case 2: The Typosquat (ShlkOfTheRa/scarab-osd) 🔴 DANGEROUS. The most dangerous case in this dataset. ShikOfTheRa/scarab-osd is a legitimate drone flight controller firmware project. 468 stars, built over 10 years. ShlkOfTheRa/scarab-osd , one character different, was created March 3, 2026. Byte-for-byte identical code. Twelve days later, 1,485 stars purchased in a 90-minute

2026-06-02 原文 →
开源项目

Custom kernel developed from scratch.

For the past couple months I have been working on a custom open-source Unix like kernel built from the ground up in C and ASM, im looking for some feedback! Feel free to contribute to clone and reuse the code in this project! https://gitub.com/VibuxDevs/VNL (lots of features are placeholders right now)

2026-06-02 原文 →
AI 资讯

I Scanned My PC for AI Agents — Found 457 of Them

After using Claude Code, Codex, and Pi Agent for months, I wondered: how many AI agents are on my machine? I built a scanner. Here's what it found: Framework Active Archived Claude Code 192 191 Codex CLI 37 0 Pi Agent 8 sub-agents 12 scripts MCP Servers 8 - Total 448+ The Waste Duplicate calls : Same prompt → 3 agents (8-18% waste) Overqualified models : Simple tasks on expensive models (15-25% waste) Cache fragmentation : No shared prompt cache (12-20% waste) Zombie agents : Archived still indexed (2-8% waste) → 30-50% of AI API spend is wasted. The Fix AMA — Agent Management Agent bash pip install ama-core && ama scan && ama start Scans all agents across frameworks Smart routing (simple task → cheap model) Lifecycle management Local dashboard at localhost:8765 Free calculator: ama-agent-store.vercel.app/calculator MIT licensed. Feedback welcome!

2026-06-02 原文 →