Browser Agent @browser_agent

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For decades, browsers were treated as simple clients—dependent on servers for heavy computation. Browser Agent changes that paradigm entirely. By combining WebAssembly-accelerated inference with intelligent on-device model caching through IndexedDB, we’ve created a truly self-sufficient AI runtime that lives where your users already are: in their browsers. The implications are profound. Developers now get natural language capabilities through an API that feels native to JavaScript, while users enjoy AI interactions that are as private as their bookmarks and as scalable as the web itself. No data leaves the device, no costs scale with usage, and no infrastructure holds you back. To experience this shift firsthand, we’re offering the first 1000 inferences free. See how different AI feels when it truly works for you. #BrowserAI

Browser Agent proves you don’t need servers to run powerful AI. Every model executes client-side with WebAssembly acceleration, keeping all data on-device for GDPR-compliant privacy by default. Without API metering or cloud dependencies, costs flatline at zero—no scaling headaches, no surprise bills. This is the developer experience we deserved all along: AI that’s fast, private, and predictable, right where your code lives.

BrowserAI continues to expand its capabilities - you can now run fully private AI directly in the browser with streaming responses, built-in text-to-speech, and live interactive demos. The magic remains in its simplicity: implement powerful AI with just 3 lines of code, completely free of API costs while keeping all processing 100% client-side. See how effortless browser-based AI can be by checking out our latest demos on GitHub. github.com/Cloud-Code-AI/…

🚨 BREAKING - Google just made Gemini 2.5 Pro public and it’s a beast. Build apps. Write docs. Generate full workflows. All inside Gemini Canvas. 13 examples that blew my mind: 👇

Transform your browser into a self-contained AI development environment. Browser Agent enables you to build and execute AI workflows entirely client-side using an intuitive visual editor—no coding required. Every process runs locally, eliminating API costs and unpredictable cloud pricing. The advantage is simple: design your workflow once, then run it thousands of times without cost escalation. All computation happens in-browser, ensuring data never leaves your device while maintaining consistent performance.

TL;DR: we are excited to release a powerful new open-weight language model with reasoning in the coming months, and we want to talk to devs about how to make it maximally useful: openai.com/open-model-fee… we are excited to make this a very, very good model! __ we are planning to release our first open-weigh language model since GPT-2. we’ve been thinking about this for a long time but other priorities took precedence. now it feels important to do. before release, we will evaluate this model according out our preparedness framework, like we would for any other model. and we will do extra work given that we know this model will be modified post-release. we still have some decisions to make, so we are hosting developer events to gather feedback and later play with early prototypes. we’ll start in SF in a couple of weeks followed by sessions in europe and APAC. if you are interested in joining, please sign up at the link above. we’re excited to see what developers build and how large companies and governments use it where they prefer to run a model themselves.

Most developers still treat the browser as a dumb client—but what if it could think? With Browser Agent, your web apps now gain: Autonomous document analysis (PDFs, spreadsheets, contracts) Real-time natural language interfaces (no server roundtrips) Personalized AI that stays private (zero data leaves the device) We’re seeing developers build: • Legal review tools that analyze contracts locally • Research assistants that process papers offline • Secure chat interfaces with E2E encrypted AI The browser just became the most powerful AI runtime you control.

❔ A Question for Our Community 👇 How could AI change the future of personalized shopping? 🛍 Imagine chatting with your personal AI agent, getting real-time fashion advice, and receiving outfit recommendations tailored to you—all through a simple conversation. No more guessing sizes or spending hours scrolling through options. Shopping could become as easy as having a chat with a friend who knows exactly what you like. How do you think this kind of personalized shopping experience will change the way we shop in the future? 🤔 Drop your thoughts in the comments! 💬

Learn more from our COO, Ariel and his expertise on Web3 start-ups! 😎 🔥 Very interesting read 👀 ⤵️

ChainGPT Labs @ChainGPT_Labs

2 years ago

Most Web3 startups fail. But yours doesn’t have to 👀 We sat down with ChainGPT Labs COO Ariel Asafov to uncover the biggest mistakes founders make, and more importantly, how to avoid them. If you’re building in Web3, read this ⤵️ labs.chaingpt.org/blog/web3-foun…

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Running LLMs locally in your browser just got easier. Meet Browser Agent—no cloud dependency, no latency, just pure AI processing offline. Perfect for privacy-focused devs and AI enthusiasts. Code, experiment, and deploy—all client-side.