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Today, I'm excited to launch Arrakis: an open-source and self-hostable sandboxing service designed to let AI Agents execute code and operate a GUI securely. GitHub: Watch Claude code a live Google Docs clone using Arrakis. Having a VM sets it free -🧵

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Abhishek Bhardwaj

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52,615 görüntüleme • 1 yıl önce •via X (Twitter)

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Excited to launch Browserable: an open-source and self-hostable browser automation library designed to let agents execute web tasks, track status and fetch results. GitHub: Watch Browserable search Amazon for a yoga mat atleast 6mm thick, non-slip, eco-friendly, and under $50.
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Excited to launch Browserable: an open-source and self-hostable browser automation library designed to let agents execute web tasks, track status and fetch results. GitHub: Watch Browserable search Amazon for a yoga mat atleast 6mm thick, non-slip, eco-friendly, and under $50.

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Introducing Claudia - A powerful GUI app and Toolkit for Claude Code. Create custom agents, manage interactive Claude Code sessions, run secure background agents, and more. ✨ Features - Interactive GUI Claude Code sessions. - Checkpoints and reverting. (Yes, that one missing feature from Claude Code) - Create and share custom agents. - Run sandboxed background agents. (experimental) - No-code MCP installation and configuration. - Real-time Usage Dashboard. Free and open-source. Get started at: claudia [dot] asterisk [dot] so

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Now building is a team sport. Introducing Slack Code: a new way for your team and AI agents, like Anthropic's Claude Code, Claude Tag, Devin from Cognition, GitHub Copilot, ChatGPT, and Vercel agents, to write, review, and ship code together. Just mention an agent to spin up a channel, pull in your team, and start building. All in the open. All in Slack.

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You can now use Claude Code and GitHub CLI directly inside Perplexity Computer. We gave it an open issue on Openclaw. Computer: → Forked the repo → Wrote a plan to fix the bug → Opened Claude Code and implemented it → Submitted a PR via GitHub CLI

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SOMEONE BUILT A GITHUB REPO THAT LETS YOU RUN CLAUDE CODE COMPLETELY FREE, FOREVER. It reroutes your Claude Code traffic to 10 free providers like DeepSeek and Kimi, takes 5 minutes to set up, and already has 20,000+ devs running it.

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New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

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