Mentions

Then I tested the tester: same rules on random prices, and on prices with a hidden pattern. Random: FAIL (−₹13,562 after costs)
Hidden pattern: PASS It can tell luck from a real edge. Next: real NSE data. Open source: Maddy824/oracle-autopsy

今日はアプリケーション開発が捗ったなぁ、Windowsの不要な機能を一括で無効化するツール作ったんだけどコレ最初に作るべきだわ、自分でやる時も画面共有で教える時も1個1個手作業で無効化していってたからこれでサクッと出来るようになったよ 777Labs/Win11QuickTweaker

Fluidtech: The concept of forcing information into a topological liquid layer for LLMs link kapildhinwa2010-dev/fluidtech

@Stevezinhooo @JinMwon L’ia ça fait mieux que 99% des gens dans la sec. louislafosse/hacksor

ThreadX使えてるなら話が早いですけど github.com/nityc-d-robo/wio_TX_controller/tree/ma…

Your Agent Finally Has a Face: AG-UI in Agent Kernel By Malitha Liyanage !Your agent finally has a face: Agent Kernel now supports AG-UI. Your UI sends one RunAgentInput request over the AG-UI open protocol, and Agent Kernel (running OpenAI Agents SDK, LangGraph, Google ADK, Pydantic AI or Microsoft Agent Framework agents with sessions, memory, hooks, tracing and auth) streams typed events back: RUN_STARTED, TOOL_CALL_START, TOOL_CALL_RESULT, TEXT_MESSAGE_CONTENT, STATE_SNAPSHOT and RUN_FINISHED Most agents today are a black box with a text box in front of it. You type a question. A spinner turns. Thirty seconds later a paragraph appears. Was the agent thinking? Calling a tool? Stuck? Waiting on a slow API? You have no idea, and neither do your users. That is not a model problem. It is a plumbing problem. The agent knows exactly what it is doing at every moment. It just has no standard way to tell the screen. Agent Kernel now speaks AG-UI, and your agent's work becomes something your users can see. The Missing Layer Between Agents and People The agent ecosystem has quietly standardised two of its three connections. MCP connects agents to tools. A2A connects agents to other agents. Agent Kernel already supports both. The third connection, agent to person, has been everyone's custom job. Every team writes its own streaming endpoint, its own event format, its own "is it still thinking?" logic, and its own frontend to match. None of it is reusable, and all of it breaks the day you swap frameworks. AG-UI is the open protocol that fills that gap. It is a simple, event-based wire format: the frontend sends one request, and the agent streams back a sequence of typed events describing everything that happens during the run. With AG-UI support, Agent Kernel now covers all three: tools, agents, and people. That is what we mean by full agentic UI support. What Your Users Actually See An AG-UI run doesn't return a reply. It streams the whole shape of the work: - The answer, word by word as it is written. - The agent's reasoning, as a separate "thinking" stream you can show dimmed, collapse, or hide, never mixed into the answer. - Every tool call, with its name, its arguments as they arrive, and its result. Your UI can render each one as a card: "Looking up order ORD-1001… found it." - What the agent is doing right now (thinking, calling a tool, replying, idle), read straight off the stream instead of guessed from a timer. - Shared state: a JSON object that both the frontend and the agent read and write. Here is what that looks like in practice: an agent that draws an AWS architecture as you describe it. Every box and arrow is a tool call, drawn on the canvas the moment its result streams in, while the reply writes itself into the chat beside it. !An Agent Kernel agent drawing an AWS architecture live over AG-UI: asked for a serverless todo API, it adds Users, API Gateway, Lambda and DynamoDB one box at a time; asked to add sign-in, it slots Cognito in; asked to host the frontend, it adds CloudFront and S3. Each box and arrow appears on the canvas the moment the matching tool call runs, while the reply streams into the chat beside it Shared State: The Agent Edits Your UI, Not Just Your Chat Look at the diagram drawer above. The user says "a serverless REST API for a todo app." In a chat-only world, the agent replies with a paragraph: "Use API Gateway in front of a Lambda that writes to DynamoDB." Nothing on screen changes. The user is left to draw the diagram themselves from a description. With AG-UI, the diagram itself is the agent's to edit. Every box and arrow the agent adds lands on the canvas as its tool call finishes, and the whole diagram lives in shared state that Agent Kernel sends back to the browser when the run ends. So when the user follows up with "add user sign-in", the agent reads the diagram that is already there and slots Cognito into it, rather than starting over. This is the difference between a chatbot bolted onto your app and an agent that actually works inside it. A form that fills itself in. A dashboard filter the agent sets. A cart the agent edits. A draft the agent and the user write together. Built the Agent Kernel Way AG-UI in Agent Kernel follows the same rules as everything else in the kernel. Framework agnostic. Write your agent in the OpenAI Agents SDK, LangGraph, Google ADK, Pydantic AI or Microsoft Agent Framework. The frontend sees the same events either way. Change frameworks next quarter and your UI does not notice. One handler, not a new server. AG-UI mounts alongside your chat API. Same sessions, same memory, same deployment. Scales off the web tier. Runs go through Agent Kernel's queue pipeline. Put SQS, Kafka or NATS behind it, with Redis or Valkey for the replies and the sessions, and agent runs move to their own workers while the web tier just holds the connection and streams the events back. The frontend never knows the difference. Secure by default. AG-UI has no anonymous mode. You plug in your own authoriser. Agent Kernel refuses to start the surface without one, because every run executes an agent on a real user's behalf. Client context stays out of the prompt. The frontend can attach context to a run: the page the user is on, their local time, a selected record. Agent Kernel never pastes that into the system prompt. The agent has to ask for it through a read-only tool, so it reads that context as tool output, not as instructions. Everything still applies. Sessions, memory, hooks, tracing, multimodal attachments: a run over AG-UI goes through the same runtime as any other request. Turn on multimodal support and users can even drop an image or a PDF into the conversation. People stay in the loop. When an agent needs approval before it acts ("may I issue this refund?"), the run pauses cleanly and the frontend gets the question. The user clicks approve or deny, and the agent carries on from exactly where it stopped. Get Started in Five Minutes 1. Install pip install "agentkernel[openai,api,agui]" export OPENAI_API_KEY=sk-... 2. Write the agent # app.py from agentkernel.agui import AGUIPipelineRequestHandler from agentkernel.auth import Authoriser from agentkernel.openai import OpenAIModule from agentkernel.pipeline import IOHandler from agents import Agent class DemoAuth(Authoriser): def authorise(self, token): return "demo-user" if token == "demo-token" else None agent = Agent( name="planner", instructions="You help the user keep a short task list. The list lives in the shared AG-UI " "state under the key 'tasks'. Whenever it changes, write the full new list back with " "update_agui_state.", ) OpenAIModule([agent]) if __name__ == "__main__": IOHandler.run(handlers=[AGUIPipelineRequestHandler(authoriser=DemoAuth())]) Mounting AGUIPipelineRequestHandler is what turns AG-UI on. There is no flag to forget. The agent runs on Agent Kernel's queue pipeline: on your laptop that is still one process with nothing else to install, and pointing the config at a broker, with shared storage such as Redis for replies and sessions, moves the runs off the web tier without touching this code or your frontend. The AG-UI docs list every setting a broker needs. 3. Configure AG-UI # config.yaml agui: default_agent: planner state: enabled: true # gives the agent get_agui_state / update_agui_state client_context: enabled: true # lets the agent read what the frontend attaches 4. Run it and talk to it python app.py curl -N -X POST http://localhost:8000/agui \ -H "Authorization: Bearer demo-token" \ -H "Content-Type: application/json" \ -d '{ "threadId": "thread-1", "runId": "run-1", "state": {"tasks": []}, "messages": [{"id": "m1", "role": "user", "content": "add milk and bread to my tasks"}], "tools": [], "context": [], "forwardedProps": null }' Watch the events stream in: RUN_STARTED, a tool call to update_agui_state, the reply text arriving in pieces, a STATE_SNAPSHOT carrying the new task list, and finally RUN_FINISHED. That stream is everything your frontend needs. 5. Put a UI on it The stream is plain Server-Sent Events, so any frontend can read it with fetch. The quickest start is our example: examples/api/agui is a small React + TypeScript app that renders every event kind: streamed answers, a thinking block, a card per tool call, a live status strip, a shared task-list panel and file attachments. Its code is written to be read, and easy to lift into your own app. The Bottom Line An agent nobody can see working is an agent nobody fully trusts. AG-UI turns your agent's work into something people can watch, follow and steer: the answer as it forms, the reasoning behind it, every tool it touches, and the state it changes in your app. Agent Kernel gives you that with one handler, on the framework you already use, without giving up the security, sessions and observability you already have. Your agent finally has a face. Agent Kernel is open source under Apache 2.0. - AG-UI protocol (official site): docs.ag-ui.com - AG-UI in Agent Kernel: kernel.yaala.ai - Runnable example with a React frontend: examples/api/agui - Human-in-the-loop over AG-UI: examples/api/hitl - GitHub: yaalalabs/agent-kernel --- Originally published at kernel.yaala.ai on October 25, 2026.

• Which tools were called • Where errors occurred A clearer view of how your agents work together, and where to start debugging when they don’t. EverMind-AI/raven

Candy Browser | Android Material Expressive FOSS | Closed Play Store Test | GH 625+ ⭐ I've been working on Candy Browser, and it's now in closed testing on Google Play. It's already had over 77,000 APK downloads on GitHub and reached 625+ stars, which is pretty cool to see. Thanks to everyone who's tried it so far. I'm looking for people to use it for normal, everyday browsing and tell me where it gets annoying or breaks. Especially interested in how the gestures feel once you've used them for a while, and whether any sites give you trouble. Still plenty to improve, so bug reports and honest feedback are welcome—here or on GitHub. To access the app you need to join the testing group here: groups.google.com Then you can see the app in the play store: play.google.com Here is the GitHub link for reference The idea is a browser built around gestures and Material 3 Expressive. You can switch tabs by swiping on the address bar, swipe into the tab overview, and customize the controls to suit how you browse. I've put a lot of work into how it feels to use, from the animations and haptics to the edge-to-edge layout. There's quite a bit in it by now: - Firefox add-ons through GeckoView, including uBlock Origin and cookie-banner blocking. Compatible extensions can be managed inside Candy. - Cover flow, grid, and list tab views, plus stacks for grouping tabs. - Separate profiles with their own cookies and logins. - A built-in RSS reader and Reader Studio, with offline article saves and text-to-speech. - Privacy X-Ray to see what's being blocked, local filtering, and private sessions that stay in memory. - End-to-end encrypted tab sync with Firefox and Chromium on desktop. This currently needs a self-hosted sync server. - Link Peek for checking a link without opening another tab. - Candy Trails, which shows your browsing history as connected paths you can jump back into. - Dynamic colors, AMOLED mode, and options for the address bar, shapes, and browser appearance.

Searching for testers for ReadBear - open-source e-book reader Hi! I am an indie dev, and I created this open-source ebook reader (EPUB, PDF, CBZ) and in the future more! I would ask you to help me test my app! Project website: [readbear.tulis.dev](readbear.tulis.dev) Github: [Tulis12/ReadBear](Tulis12/ReadBear) Please sign in here: [forms.gle](forms.gle) (provide your email) Download (available after signing in): [play.google.com](play.google.com) Please provide any feedback to the Github repo on issues: [Tulis12/ReadBear](Tulis12/ReadBear) or directly to me by email (on my site): [tulis.dev](tulis.dev)

我开发了一个 GK-2A HRIT 解码器，在测试中,Es/N0 = 1.6 dB 时 RS 帧恢复率仍可达到 99.8%（1000 组随机加噪种子）.即使存在少量数据丢失（RS 校验未通过）,也能通过缺失数据填充与图像重建恢复出较完整的卫星云图. 目前项目已在 GitHub 开源，欢迎使用.测试和提出改进建议! AGcovStudio/NadirStation-GK2A-HRIT-decoder t.co

ىـ Day 317 أفضل أداة لـ الفحص التلقائي 🔬👌 سريعة وقوية وتختصر لك فحص Nmap الرابط : 👇👇 bee-san/RustScan و اتمنى من الله انكم استفدتم وعسى الله ينفع بنا جميعاً (تفاعلك يساعد غيرك)🤎 t.co

Check it out on #Github github.com/SURIMI-Project

Do I know anyone working on the Vercel skills CLI? @vercel I would love to chat about a programmatic install API. Frameworks like Nuxt, or people selling their skills, could build on top of it instead of spawning `npx skills add`. skills#178

The @psalm 7.x upgrade is really interesting: it reports a lot of #php taint analysis stuff by default (which I may disable, for library work). Worth digging into it, and trying to dissect what the tool is trying to tell BetterReflection#1594

Evolv – my self-evolving AI workspace that rewrites its own UI live

YomiPaceにカンペ作成機能を追加。 これで一応PCレスでカンペ作成と編集ができるようになりました。 こんなもんかな！ 原稿複製やZIP共有の読み込み待ちが視覚的にわかりにくいのでそこを修正するぐらいか。 github.com/UroCo-lab/YomiPace/releases/tag/v0.8.0 t.co

infusion - a lightweight Android TV player combining Jellyfin and streaming addons Hey everyone! I've been designing infusion, a media player for Android TV, and I've just released the first public alpha. I'd be more than honored if you took a bit of time to try it! I hope you won't regret it, and that you'll see why the idea is a little different from the established big names out there. infusion isn't necessarily for complete beginners. You should know your way around a little, but I think that's part of the beauty of learning! Try things out, see what works for you. infusion is flexible. I wanted a proper Jellyfin client, including full library and music support, but with the discovery and flexibility of a streaming app. All in one place. A few things that make it different: - Full Jellyfin browsing, music playback and background music. - Streaming add-ons and customizable Home rows, without forcing you to use either. - Context menus on cards, customizable add-ons, and collections you can organize directly from the TV. - Radarr/Sonarr integration to request movies and shows for Jellyfin directly from your streaming add-ons. - Lots of settings, including setup from your phone over your local network. I come from Kodi's world, and settings in general are a big part of my life ;) - No infusion account, no tracking, no analytics or central backend. Your data stays on your device. The APK is only around 5 MB, and keeping everything lightweight, fast, free of bloat and responsive with a TV remote has been a big priority. It's still an early alpha, so there's plenty of room to improve. I'm developing it independently, so constructive feedback, bug reports and suggestions would genuinely help. If you'd like to give it a try: infusionplayer.stream Addonniss/infusion-releases reddit.com There's also a screenshots section if you want a small glimpse of how it looks. (No Jellyfin screenshots on purpose — you already know what your Jellyfin looks like!) Thanks for checking it out!

Crush 能在终端里读代码、改文件，中途换模型也能保留上下文，不必重新交代项目。 注意许可证是 FSL，不是当前版本直接按 MIT 开源：允许内部使用，但限制拿它做竞品商业服务。接云端模型还得配认证。 charmbracelet/crush t.co

Comic Creatorアップデートv1.64.0 再掲 OCRタブとMOSS-Imageタブの連携強化、OCRで文字認識（複数のモード）、領域抽出、VLMで全体プロンプト作成。MOSS-Imageタブで編集 #ComfyUI note記事：note.com: ：ketle-man/comfyui-comic-creator t.co

WTF? One more reason not to use Hermes' agent anymore, I assume. 🤣🤣🤣 Go, check out Hayate Agent: github.com/hayate-agent t.co

@PeterRizun Claiming the 0.01 BTC BRAM-ring CPU speed award. On an i7-12700KF, Prefetch32 averaged 933.6 H/s vs 825.4 H/s for the reference (+13.11%). All 8 vectors matched. Commit: 1cf610ab9fd85c58bfcedd562b111e540bf6125b TearHappy/bram-ring-prefetch32

Built an Android app to simulate different network conditions on real devices I was looking for a way to test Android apps under different network conditions, but most solutions I came across either changed the network settings for the entire device, were focused on emulators, or required setting up proxies. So I built my own tool: App Throttler. - Set download and upload speed limits. - Simulate latency and jitter. - Introduce packet loss. - Apply network conditions to individual apps. - Change network profiles while the app is running. - Create different network scenarios. - Capture and export network traffic as PCAP files. GitHub: RAN-GAN/app-throtler It's still a work in progress, and there are some limitations I'm working on.

@__r17x LLM is surprisingly immediately good at it due to how stupidly the language construct is, i made this a while back lol still an ongoing side project thing elianiva/lajur

GitHub Trending Nov 3, 2026: AI Desktop Agents, Scrapling & Local LLMs GitHub Trending explained: agent-desktop for desktop automation, Scrapling 0.5 for Python web scraping, and colibri 2.1 for local LLMs with native GGUF support. Practical use cases, updates, and limitations. 00:00 Overview 00:13 Desktop automation · agent-desktop 01:03 Web scraping · Scrapling 02:00 Local models · colibri 02:50 Recap 03:03 Tomorrow & follow Projects & official sources: vercel-labs/agent-desktop github.com/D4Vinci/Scrapling/releases/tag/v0.5 github.com/JustVugg/colibri/releases/tag/v2.1.0 November 3, 2026 edition. Archive comparisons refer only to the records checked. Review migration notes and test performance before adopting these tools. AI-generated narration and conceptual illustrations; product views use official project screenshots. Follow for practical open-source tools and GitHub Trending updates. #GitHubTrending #OpenSource #AI

سكل arabicization-anything صنعت سكل يعرب لك اي لعبة سواء كنت تستخدم وكيل ارسل له رابط السكل مع امر بتثبيته سوف يقوم بتثبيت السكل من ثم استعمله بشكل طبيعي على اي لعبة اكتبوا تقيماتكم h5d7r/arabicization-anything preview.redd.it

Glocker prend la lutte contre les distractions au sérieux. Ce logiciel open source pour Linux bloque sites et applications selon des horaires définis. Extension navigateur, suivi du temps d’écran et même désinstallation volontairement contraignante. glocker-app/glocker

C 盘剩 3G，一层层翻文件夹到第五层还找不到谁占的。收费工具深层扫描和导出要买专业版，400 一套。 SpaceSniffer 把整盘画成方块图，越大占越多，点进去原图展开，可存结果。 redtrillix/spacesniffer

@rootyjeon Links: 📄 arxiv.org ⭐ rootyJeon/LARC

@dump_tcp Specifically for the DevOps C02 exam, I published my preparation notes to a public github repo: ugochukwu95/AWS-DevOps-Professional-DP-C02-Notes-2026-main. It is really helpful stuff. it has exam prep questions in each module. If you have questions you can always ping me on here.

Modern TypeScript Mithril.js with SSR, Signals and State Proxy

2nd #onto4Chem2026 talk is a @NFDI4Chem status update Dr Noura Rayya (github.com/NRayya) on the CHMO, RXNO, and MOP ontologies

@hiimsimsas Solid stack. I'd add a crawler next to Search Console, since GSC only shows what Google already picked up, not the broken links or bad canonicals it hasn't reported yet. Disclosure, I'm building a free self-hosted one called Toadstone: spcaeo/toadstone

the project intro: docs.physiclaw.ai github :physiclaw/PhysiClaw

Meltype fork紹介③ @AoneSenbongi さんのAndroidフォークです！ github.com/AoneSenbongi/Meltype-Android/releases/…

If you are migrated or moving from .NET to Rust ecosystem please check wieslawsoltes/FerroUI its major C# .NET port of UI related libraries and UI framework from C# to Rust, already shipping and being used to build powerful native apps.

I built a free, open-source Chrome extension for the boring 80% of admin work (flows, field cleanup, data between orgs). Looking for feedback. I'm a Salesforce admin. Over the last few months I vibe coded a Chrome extension for the parts of the job that are tedious in Setup and risky in Data Loader. It's free and open source (Apache 2.0). What it does, from the Salesforce tabs you already have open (no separate login): - Flows: every version of every flow in one list, backups and restore, which flow calls which, activate/deactivate, API versions. - Dependencies: "what uses this field?" — including the flow versions Salesforce's dependency API skips. If it didn't read something, it says so instead of saying "nothing". - Field Cleaner: scan a field, see every layout, Lightning page, flow and report that uses it, remove it or replace it with another field, then delete the field. Each step confirms first, each step has Undo. - Lightning Pages: which page is assigned where (app, record type, profile), and move assignments. - Debugger: a live view of debug logs — flows, triggers, and the recursion loops that eat your limits. - Copy Permissions: permission sets, profiles and assignments from one user to another. - Data Studio: deploy records between two orgs (parent → children, lookups re-pointed), with pauses for validation rules, record-triggered flows and duplicate rules, a run log, and a full rollback that deletes what it created and restores what it changed. What it doesn't do: send anything anywhere. There's no server, no account, no analytics. It talks to your orgs through your own session and stores its state in the browser. You can read every line: the whole thing is plain JavaScript on GitHub. Full disclosure: I'm an admin, not a developer. I built this with Claude doing the typing and me doing the specifying, testing and arguing. Every tool was tested against two real orgs with the CLI as the source of truth, and there are about 3,500 automated tests. The code is all there on GitHub; judge it by that. Things to know before you install: - Chrome with Enhanced Safe Browsing shows a "not trusted" warning on new publishers for the first few months. That's Google's policy for new developers, not a verdict on the code. Click "Continue to install" or read the source first, either works. - Anything that writes to an org asks first and shows exactly what it's about to do. Still, it's a 1.0. Try it on a sandbox first, like you would with anything. Links: - Chrome Web Store: chromewebstore.google.com - Source: YonatanAshkenazi53/salesforce-toolkit - 44-minute walkthrough, every tool on real orgs (chapters in the description): youtu.be It's free, it's open source, and it works today. Use it if it saves you an afternoon. If something breaks, GitHub issues is there, but no one owes me a bug report. Not affiliated with Salesforce in any way. Just an admin who got tired of clicking.

If you are migrated or moving from .NET to Rust ecosystem please check wieslawsoltes/FerroUI its major C# .NET port of UI related libraries and UI framework from C# to Rust, already shipping and being used to build powerful native apps.

OkkMax 现在能直接接进 AI Agent 查中转站了。 接入只读 MCP 和 Skills 后，可以直接问：某个模型哪家便宜、在线率是否 ≥99%，或某家站的模型纯度有没有实测。 接入说明：okkmax.com 开源仓库：Okkmass/okkmax-agent-plugin

Openrecall a unified zero knowledge proof memory for SI agents

Half-Life for Nintendo DS(i) Half-Life running natively on the DS and DSi: the original campaign at DS scale, with local wireless multiplayer and Download Play. You bring your own copy of Half-Life, and a converter turns it into the files the console reads from its SD card. This is an unofficial fan project, not affiliated with or endorsed by Valve. This project was developed with the help of AI coding assistants. Warioware64/Half-Life-NDS-Port The project is open to any contributions and issues tracking. Im opened to feedbacks so to see any encountered issues.

@DawneraGames Building KITE at Memoket for agents that need memory across sessions. Recalled facts include the original chat messages, so you can check the wording instead of trusting a summary. Open source + local MCP adapter: memoket/memoket-kite

@nervouna herdr 自带 skill，装上去之后效果好不少，并且优点是监工可以随时干预其他 agent。不过我现在自己搞了个工具，直接把其他 LLM 接口转换成 anthropic 并且实现成代理，在 Claude Code 里当作自定义的 subagent 暴露出来，这样效果更好 aisk/cameo

Wirestan 0.2 is out with 7 new checks, all designed to keep your LiveWire components secure. Check it out boring-o11y/wirestan

The Qwen gain came from reducing reasoning loops. Small game experiments also show weights written from scratch. The Gemma follow-up produced no established math gain. Blog: rikiyat.github.io Logs: RikiyaT/lm_understand-logs

妻にテプラ作成頼まれたので MCP 君の出番 mpyw/tepra.tm2 t.co

I kept losing hours to YouTube Shorts, so I built an open-source Android app that shows a live counter while scrolling Hey everyone, Like a lot of people here, I found that whenever I opened YouTube to watch a quick tutorial, I'd end up stuck in Shorts for an hour without realizing it. Most screen-time blockers either block the whole app or are filled with paid subscriptions. So I built StudyMode—a 100% offline, privacy-first Android app designed for students and focus: 🎬 Shorts & Reels Counter: A floating pill HUD right on top of YouTube Shorts / Instagram Reels that tracks how many shorts you've watched and elapsed time, so you stay aware. 🧘 Zen Mode: Complete exam lockdown with breathing focus rings and dialer-only pass-through. 🛡 Mindful Pre-Open Friction: A 10-second reflection pause or deep breathing exercise before opening distracting apps. 🔒 100% Offline & Private: Zero tracking, zero ads, and strict isolation for banking/UPI apps. It's completely free and open-source on GitHub. I would love for you to try the APK and tell me your thoughts or feature requests! github.com/Vishnukankol47/StudyMode/releases/tag/…

@StrixwavesVT Resonite is going to require generative AI content to be tagged, and will add options for people to filter it out if they don't want to see it. They are currently finalizing their policy. You can see the current draft here if you're curious: Resonite-Issues#7440

Usen Morphe + MicroG y chau. (En android) github.com/morpheapp

🚨 进展公开：别让真正的发现被别人抢走功劳 我现在把研究进展发布在这里，完整记录 PS5 V14.10 越狱相关工作与发现，欢迎关注后续更新 V14.10 越狱预计将在两周后推出 研究地址 ZigZagBoi1/PS5-14.10-Research

cool 现在就差 Seedance 自由了 作者的开源 pipeline TheMarco/claude-music-video