CAMEL browser toolkit: a better alternative for Eigent AI

🚀 Building AI Agents That Actually Ship to Production I just published a deep dive on Mastra—an open-source TypeScript framework that's changing how we build AI agents. The problem? Most AI prototypes never make it to production. You stitch together different libraries for memory, LLM routing, and workflows, then realize none of it scales. Mastra solves this by giving you: ✅ Agents with persistent memory and tool calling ✅ Deterministic workflow graphs for predictable behavior ✅ Built-in RAG, evals, and observability ✅ Deploy anywhere—React, Next.js, Vercel, Cloudflare Workers The game-changer? TypeScript + serverless + edge deployment. Your agents run globally with sub-50ms latency. No infrastructure management. The same code you develop locally deploys to edge networks serving millions of requests. We're finally getting the developer experience and production infrastructure the agentic ecosystem deserves. Read the full article: https://lnkd.in/gty98u2G Cloudflare Workers AI supports tool calling with Hermes-2-Pro-Mistral-7B—meaning you can run #mastra agents with function calling directly on the edge, no external API calls needed. Github : https://lnkd.in/gz-N-RRU #ai #typescript #aiagents #opensource #serverless #edgecomputing #llm #rag #developers #webdev #edge #coudflare #mistral #hermes-2-pro-mistral-7b #mistral #tools

TIPS for working with clients (AI also works best with these technologies): - Use ShadCN UI Library. (for custom theme: https://tweakcn.com/) - Use Typescript for typesafety. - Use React Hook form and Zod. - Use Tanstack query for API data caching. - Use Zustand for state management (don't use Redux, please) Comment below if you want to know the libraries for the Backend to use.

LangGraph.js AI Agent Template: production-ready Next.js framework for building AI agents LangGraph.js AI Agent Template: A production-ready Next.js framework for building AI agents with advanced tool integration and memory Key features: 🔧 Dynamic tool loading via Model Context Protocol without code changes ✋ Human-in-the-loop approval system for controlling agent actions 💾 PostgreSQL-backed persistent memory across sessions ⚡ Real-time streaming with Server-Sent Events 🤖 Multi-model support for OpenAI and Google AI 🧵 Thread-based conversation management 🎨 Modern stack with Next.js 15, React 19, and TypeScript The template includes complete infrastructure for agent development including database schemas, streaming protocols, and tool approval workflows. You can add new capabilities through a web UI and maintain full conversation history without building persistence from scratch. Built with Prisma ORM, shadcn/ui components, and LangChain.js abstractions. Open source and MIT licensed. 👉 Blog Post 👉 GitHub Repo https://lnkd.in/gBESJB57

LangGraph.js AI Agent Template: production-ready Next.js framework for building AI agents LangGraph.js AI Agent Template: A production-ready Next.js framework for building AI agents with advanced tool integration and memory Key features: 🔧 Dynamic tool loading via Model Context Protocol without code changes ✋ Human-in-the-loop approval system for controlling agent actions 💾 PostgreSQL-backed persistent memory across sessions ⚡ Real-time streaming with Server-Sent Events 🤖 Multi-model support for OpenAI and Google AI 🧵 Thread-based conversation management 🎨 Modern stack with Next.js 15, React 19, and TypeScript The template includes complete infrastructure for agent development including database schemas, streaming protocols, and tool approval workflows. You can add new capabilities through a web UI and maintain full conversation history without building persistence from scratch. Built with Prisma ORM, shadcn/ui components, and LangChain.js abstractions. Open source and MIT licensed. 👉 Blog Post 👉 GitHub Repo https://lnkd.in/gBESJB57

In other developer news, Kong Inc. adds an AI assistant to its Konnect platform; and a composable web application platform goes open source. By Loraine Lawson

Latest Tech Updates!! This week's highlights reveal a clear trend: intelligence and interactivity are becoming core to the modern development stack. From AI-powered browsers to the evolution of reactive forms, we've curated the essential updates you need to know. Explore this week’s key developments: 🤖 AI & Machine Learning - A new prediction model from Massachusetts Institute of Technology that could improve the reliability of fusion power plants - Google's announcement of the Genkit Extension for Gemini CLI by Christopher Gill - Perplexity makes its powerful Comet AI browser free for all by Robert Hart. Robert Hart 🅰️ Angular - What’s new and exciting in the Ignite UI for Angular 20.1 release by Radoslav Mirchev - A practical guide on how to onboard AI agents into your Angular team by Przemysław Łęczycki - Exploring how to build a dynamic form generator using Angular's new experimental Signal Forms by Manfred Steyer 🌐 Frontend Development - The journey of building a subscription tracker in 14 days with Angular 20 by Karol Modelski - A look at the impressive new WebKit features arriving in Safari 26.0. - A guide on how to choose your "Baseline" target to ensure modern web feature compatibility. Read the full digest to explore these topics in detail: https://lnkd.in/dK6p8gXK How are you and your team starting to integrate AI agents into your development workflow? Share your experiences in the comments below and repost ♻️ to keep your network informed. Join our massive community on discord: https://lnkd.in/drhDzEBR #AI #ML #Angular #WebDevelopment #Frontend #DeveloperTools #google #gemini #new #features #updates #AHSYNCBYTES #latest #article #news #tech #world #trends #dev #tips #learn #grow #MIT #coding

This Chrome DevTools 141 update is a true game-changer for devs! Especially the AI integration! The new Chrome DevTools Model Context Protocol (MCP) lets coding assistants (like Gemini) debug pages directly in Chrome—they see what the code really does in the browser, analyze performance, and fix bugs with full DevTools power. It's a revolution for automation! Plus: "Debug with AI" in the Performance panel for network dependency trees—chat with Gemini about issues and get live suggestions. Export Gemini chats? Now you can save the conversation or copy the response with one click. Other gems: Persistent trace configurations in Performance (save settings and don't lose them on import), filter for IP Protected requests in Network (great for privacy), masonry layout support in Elements > Layout (inspect modern CSS grids), and Lighthouse 12.8.2 with better handling of custom properties. Google's raising the bar again in the AI era—if you're a front-ender, update and test it out! https://lnkd.in/d84qbErB

Fast Map Development: Using Context7 + Claude CLI with MapMetrics-GL A practical guide to building interactive maps in minutes with real-time API documentation. Why This Matters If you’ve ever tried to build a mapping app with an AI assistant, you’ve probably run into deprecated methods, silent errors, and lots of debugging.

That’s because AI tools often rely on outdated training data. But with Context7 + Claude CLI, you can give your AI assistant access to live, up-to-date documentation for 20,000+ libraries — including MapMetrics-GL.

The result: AI code that just works on the first try. What You’ll Build In under 30 minutes, you’ll create a real estate property viewer with: A MapMetrics-GL map centered on New York City Interactive property markers A sidebar with property details Search and filter functionality

All generated with Claude CLI no manual debugging needed. Prerequisites Node.js 18+
- Basic JavaScript knowledge
- Claude CLI installed
- A MapMetrics Atlas access token Step 1: Install Context7 Step 2: Create a Project Step 3: Bootstrap a Ma https://lnkd.in/gWg5EzX2

Fast Map Development: Using Context7 + Claude CLI with MapMetrics-GL A practical guide to building interactive maps in minutes with real-time API documentation. Why This Matters If you’ve ever tried to build a mapping app with an AI assistant, you’ve probably run into deprecated methods, silent errors, and lots of debugging.

That’s because AI tools often rely on outdated training data. But with Context7 + Claude CLI, you can give your AI assistant access to live, up-to-date documentation for 20,000+ libraries — including MapMetrics-GL.

The result: AI code that just works on the first try. What You’ll Build In under 30 minutes, you’ll create a real estate property viewer with: A MapMetrics-GL map centered on New York City Interactive property markers A sidebar with property details Search and filter functionality

All generated with Claude CLI no manual debugging needed. Prerequisites Node.js 18+
- Basic JavaScript knowledge
- Claude CLI installed
- A MapMetrics Atlas access token Step 1: Install Context7 Step 2: Create a Project Step 3: Bootstrap a Ma https://lnkd.in/gWg5EzX2

Fast Map Development: Using Context7 + Claude CLI with MapMetrics-GL A practical guide to building interactive maps in minutes with real-time API documentation. Why This Matters If you’ve ever tried to build a mapping app with an AI assistant, you’ve probably run into deprecated methods, silent errors, and lots of debugging.

That’s because AI tools often rely on outdated training data. But with Context7 + Claude CLI, you can give your AI assistant access to live, up-to-date documentation for 20,000+ libraries — including MapMetrics-GL.

The result: AI code that just works on the first try. What You’ll Build In under 30 minutes, you’ll create a real estate property viewer with: A MapMetrics-GL map centered on New York City Interactive property markers A sidebar with property details Search and filter functionality

All generated with Claude CLI no manual debugging needed. Prerequisites Node.js 18+
- Basic JavaScript knowledge
- Claude CLI installed
- A MapMetrics Atlas access token Step 1: Install Context7 Step 2: Create a Project Step 3: Bootstrap a Ma https://lnkd.in/gWg5EzX2