🎙️ أداة مفتوحة المصدر لتشغيل استنساخ الأصوات، والإملاء الصوتي، ودبلجة وترجمة الفيديوهات بالكامل على جهازك بدون API Keys.
كل شيء يعمل محليا مع دعم إعادة تسجيل الصوت بسهولة.
SOMEONE JUST VIBECODED A PROGRAM THAT DOWNLOADS ANY WEBSITE ON THE INTERNET
every $35,000 agency site is now yours to rip clean for $0
fully open source, save it before it's gone
you paste one url and it does the rest:
→ crawls the entire site
→ grabs every file: html, css, js, images, even the fonts
→ rewrites every link to run fully offline
→ packs it all into a downloadable zip
runs entirely in the browser, nothing to install or sign up for
point it at any site you admire and the whole front-end is yours:
→ clone it
→ archive it before it dies
→ crack open exactly how it was built
the thing agencies gatekeep for five figures is now a 10-second download
bookmark this one
Anthropic's in trouble, again!
They spent years building what's now fully open-source.
What made Claude feel different from a normal app is that the agent could act inside the interface instead of only talking in a chat box.
For instance, Claude Artifacts let an agent render real UI, charts, dashboards, and interactive components that assemble live inside the response.
Every major AI product tried to replicate it.
But the problem was that unlike reasoning, planning, tool-calling, etc., none of it shipped natively with LangGraph, CrewAI, or Google ADK.
So teams started building an owned version that required engineering the entire interface layer from scratch.
Most teams, however, just settled for shipping the agent as a backend API in a chat box since rendering the UI is only one piece of it.
To actually make it work, the interface layer also needed real-time streaming, state kept in sync between agent and UI, conversations that persist across sessions, and reconnection when a user refreshes mid-run.
@CopilotKit is now the only open-source framework that actually lets you build your own full-stack Claude-like apps.
It decouples the agent from the interface, talking over AG-UI (an open protocol for agent-to-user communication).
Being a standard protocol, the frontend never needs to know whether it is talking to a LangGraph or a CrewAI agent. You can change the backend anytime and the UI will never notice.
In practice, CopilotKit's interface layer gives several pre-implemented React building blocks that wire the agent directly into the app, like:
- generative UI, so the agent renders real components instead of text
- chat windows, sidebars, and popups, or a fully headless setup
- shared state, so the agent and app stay in sync
- human-in-the-loop approvals, where the agent waits before acting
- persistent threads that store the whole session, including the agent-user interactions and generated UI, not just text
And because that full history is captured, those interactions can feed a self-learning layer that also improves the agent from real usage over time.
The interface layer that Anthropic spent years engineering in-house is now literally available to any developer/team.
CopilotKit is open-source with 30k+ GitHub stars, and AG-UI, the protocol underneath, is already supported across every major agent framework: LangGraph, CrewAI, Mastra, Google ADK, and more.
CopilotKit GitHub repo → https://t.co/wkQ1taF0rM
(don't forget to star it ⭐ )
If you want to go deeper, I found a detailed breakdown by Shubham Saboo recently on the three Generative UI patterns, with implementation.
Read it below.
I watched a PhD student use NotebookLM to do in 3 hours what took me 3 months.
I asked him how. He showed me his setup. I have not studied the same way since.
Here is exactly what he did.
He did not use NotebookLM as a search engine.
He did not type questions like "explain this concept."
He uploaded an entire field.
12 textbooks. 40 research papers. Every review article published in the last 5 years on his
topic. All uploaded at once. Into a single notebook.
Then he asked one question that changed how I think about learning:
"If you could only teach this subject using 7 sentences — one for each core idea — what
would they be?"
Not a summary. Not an overview.
Seven sentences. For the entire field.
NotebookLM produced them. He read them.
He asked a follow-up:
"For each sentence, what is the single experiment or paper that proved it was true?"
Now he had the skeleton of an entire field — and the exact evidence underneath each bone.
Then he did something nobody told me about.
He uploaded his own notes alongside the source material.
Then asked:
"Where am I wrong? What have I misunderstood compared to what the literature actually says?"
The system found three misconceptions he had carried for two years. Two of them would
have cost him his PhD defense if they had gone uncorrected.
He called this the Misconception Audit. He runs it on every subject before any exam, any
paper submission, any conference presentation.
Then the final step.
"Generate 10 questions a hostile expert would ask someone who claims to understand this
field. Then answer each one using only the sources I uploaded."
He was not studying to pass.
He was studying to survive interrogation by the smartest people in the room.
He passed his qualifying exam on a subject he had started studying 11 days before.
I have been studying the wrong way my entire life.
Here is his exact setup if you want to replicate it:
1.Upload the entire field — not one source
2. Ask for the 7 core sentences
3.Find the evidence under each one
https://t.co/IXovyuvPfc the Misconception Audit on your own notes
Survive the hostile expert interrogation
The information was always available.
The framing was the unlock.
He passed his qualifying exam on a subject he had started studying 11 days before.
I have been studying the wrong way my entire life.
Here is his exact setup if you want to replicate it:
1.Upload the entire field — not one source
2. Ask for the 7 core sentences
3.Find the evidence under each one
https://t.co/IXovyuvPfc the Misconception Audit on your own notes
Survive the hostile expert interrogation
The information was always available.
The framing was the unlock.
35 WEBSITES GOOGLE DOESN'T WANT YOU TO KNOW
1. Evomap .ai — open source, self-hosted, and your data never leaves your own infrastructure.
https://t.co/oQEbudhJiD
2. NotebookLM — turns docs into podcasts
https://t.co/prs9AWkTFa
3. Napkin AI — turns text into diagrams
https://t.co/W14RHb2JZG
4. Ideogram — generates text in images perfectly
https://t.co/qRg1yfkZMC
5. Suno — makes full songs from a prompt
https://t.co/RtR8iK1wM4
6. HeyGen — clones your face into videos
https://t.co/V89yi3ymi2
7. Kling AI — best AI video generation
https://t.co/7U7lvYoYui
8. ElevenLabs — clone any voice instantly
https://t.co/DB46fO9jUU
9. Gamma — AI presentations in seconds
https://t.co/abgvkUxotm
10. Perplexity — AI search with real sources
https://t.co/lJNsbNb97N
11. Pika — animate any image into video
https://t.co/Y1ziroISrN
12. Runway — cinematic AI video generation
https://t.co/0V22FRYKDq
13. Cursor — AI code editor that builds for you
https://t.co/ZZ5a58hmjV
14. v0 — generate UI components with AI
https://t.co/AFa9p7nwkr
15. Lovable — turn ideas into working apps
https://t.co/TKYBXZ7zU1
16. Descript — edit video by editing text
https://t.co/YQUjUSEgzM
17. Opus Clip — auto cut long videos into shorts
https://opus.clip
18. Krea AI — real time AI image generation
https://t.co/pcm9ExwVf9
19. Magnific — upscale any image with AI
https://t.co/37zwz0b2Ix
20. Viggle — make characters move realistically
https://t.co/HXXEtfQc4w
21. tl;dv — record and summarize any meeting
https://t.co/IE8NQV7pzn
22. Fireflies — AI meeting notes automatically
https://t.co/dsbAnuUQji
23. Castmagic — turn audio into content pieces
https://t.co/GhGS0F2Szc
24. Replit — code and deploy from browser
https://t.co/dUCenYqW4U
25. Leonardo AI — generate images for free
https://t.co/7xTC7clZfl
26. Synthesia — AI avatar videos no camera needed
https://t.co/JUyPtbBN0S
27. Fliki — turn text into videos with AI
https://t.co/CVx4aAN2dj
28. Photoroom — AI product photography
https://t.co/uxxIAuajce
29. Invideo AI — turn prompts into full videos
https://t.co/RYGEc0aR5J
30. Consensus — search what science agrees on
https://t.co/0aiJRNQyS1
31. SciSpace — understand any research paper
https://t.co/YsTmVTOtiG
32. Tome — AI builds your pitch decks
https://t.co/AvedovUGHI
33. Beautiful AI — smart presentation design
https://t.co/zJmwoqyymm
34. Meshy — turn text into 3D models
https://t.co/C9NUi2f1RK
35. Vizcom — turn sketches into renders
https://t.co/sxrxTwcvgw
The AI revolution isn't coming.
It already happened and you missed half of it.
10 GitHub repositories so good they shouldn't be free.
1. TradingAgents
An entire team of AI analysts debating strategies and trading real markets. Fundamental, sentiment, news, and technical analysts work in parallel. Then a risk manager and execution agent make the final call. Like having a Wall Street team working 24/7 on your laptop.
Repo: https://t.co/xunNFf8ZxT
2. LibreChat
ChatGPT, Claude, Gemini, DeepSeek, and 20+ models in one interface. Self-hosted. Native MCP support. Your history, your infrastructure, your data. Why pay monthly subscriptions when you can run everything yourself?
Repo: https://t.co/MJbeSPkVA1
3. HyperFrames
HeyGen open-sourced its internal video engine. Write HTML and get production-ready MP4 videos. Supports GSAP, Lottie, and Three.js out of the box. The same input always produces the same output.
Repo: https://t.co/BZX6g7tLga
4. Fincept Terminal
A Bloomberg-style terminal running on your laptop. AI investing agents inspired by legendary investors. Deep financial analysis, market intelligence, and dozens of data integrations without enterprise pricing.
Repo: https://t.co/CZvl5bAd63
5. MoneyPrinterTurbo
Enter a keyword and get a complete video: script, visuals, subtitles, music, and final render. Horizontal or vertical. Minimal manual editing required.
Repo: https://t.co/7Bgikd2DsQ
6. Agentic Inbox
Cloudflare's open-source AI email client. An AI agent reads your inbox and drafts replies while keeping everything inside your own infrastructure. No external servers. No subscription fees.
Repo: https://t.co/LLRoslkkCL
7. VoxCPM
Clone voices with just a few seconds of audio. Supports dozens of languages and high-quality voice generation. Create custom voices directly from text descriptions.
Repo: https://t.co/UzExPt8eFd
8. Flowsint
Enter a domain and uncover connected IPs, subdomains, emails, crypto wallets, and social profiles through a visual graph. Everything runs locally for private investigations and OSINT workflows.
Repo: https://t.co/kBlOzgRKAs
9. agent-skills
Google engineer Addy Osmani released his production-tested Claude Code skills. Includes workflows for API design, debugging, code reviews, CI/CD, frontend engineering, and more.
Repo: https://t.co/Pxwwo42xnN
10. Nango
The integration layer companies spend thousands on every year. Hundreds of prebuilt API integrations, managed OAuth, and AI-generated integration code. Trusted by fast-growing startups and enterprise teams alike.
Repo: https://t.co/hQNCgSJtlg
These aren't side projects.
Each one replaces software people are still paying for every month.
Pick one.
Install it.
Add it to your workflow.
100% free. 100% open source.
ماتبي تعتمد على Google Play وتبي تطبيقات مفتوحة المصدر؟ 👌
جرب Vyxel Apps 🔥
متجر مفتوح المصدر يجمع التطبيقات من GitHub مباشرة، مع إمكانية تثبيت التحديثات، اكتشاف تطبيقات جديدة، تقييم موثوقية المشاريع، والبحث داخل مئات التطبيقات
PewDiePie ha lanzado su propio ChatGPT gratis y de código abierto (y ya lleva casi 50K de estrellas en GitHub).
Una app de IA que se ejecuta en tu propia máquina con modelos locales de manera simple, privada y segura.
Es mucho más que un chat, ya que puedes utilizar agentes para realizar investigaciones, revisar tu email, soporta MCP, skills, memoria y diferentes tools para realizar tareas reales en tu máquina.
Para Windows, Mac y Linux.
→ https://t.co/E3XNLo8Wtw
All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map
Un tipo de Reddit construyó accidentalmente el sitio web más útil de internet.
Se llama FMHY (Free Media Heck Yeah). Google llegó a eliminarlo de los resultados de búsqueda tras recibir reclamaciones por derechos de autor.
Aun así, sigue online, y se ha convertido en uno de los directorios más completos de recursos gratuitos de internet.
Aquí te explico cómo funciona 👇
Si Mulyono Kurap Sombong Amat.
Mentang" Si Mbah orang miskin.
Mau salaman tangan nya sampai di tepis gitu.
Kalau lu meresa jijik dng mereka.
Kenapa lu nyamperin mereka njing.