Make Any Website AI Agent-Ready in Minutes

Today’s top AI Highlights:

1. Agentic AI memory layer with high accuracy, fast retrieval, low cost

2. Make any website AI Agent-native with 1 JSON file

3. Anthropic’s free YouTube videos on Claude 4, Claude Code, and MCP

4. Grok 4 is now free for all users worldwide

5. Build any mobile or web app anywhere with no code

& so much more!

Read time: 3 mins

AI Tutorial

OpenAI just dropped GPT-5, bringing excellent reasoning capabilities and unified intelligence that makes building sophisticated AI systems easier than ever. The timing couldn't be better for developers looking to create next-generation applications that can think, reason, and act intelligently.

In this tutorial, we'll show you how to build an Agentic RAG (Retrieval-Augmented Generation) application using the Agno framework with GPT-5 Nano and LanceDB. This creates an intelligent agent that can search through documents, reason about information, and provide expert-level responses while maintaining performance and cost efficiency.

Agno is a Python framework for building multi-agent systems with memory, knowledge, and reasoning capabilities. We're using OpenAI GPT-5 Nano that retains key reasoning capabilities while being optimized for developer tools and rapid interactions. Combined with LanceDB's lightweight vector database, you get a blazing-fast RAG system that doesn't compromise on intelligence.

We share hands-on tutorials like this every week, designed to help you stay ahead in the world of AI. If you're serious about leveling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.

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Latest Developments

Opensource Agentic AI Memory Framework 🧠💡

This agentic memory layer doesn't just store your conversations. It learns who you are and grows smarter with every interaction.

MemU is an opensource AI memory framework that organizes memories into interconnected documents rather than scattered data fragments. The framework's memory agent works continuously, recording important details, linking related information, and generating fresh insights even when you're not actively using the system.

It supports multiple retrieval strategies like semantic search, hybrid search, and contextual retrieval. What sets MemU apart is its file-system approach to memory, where conversations become structured documents that can reference each other via hyperlinks.

Key Highlights:

1. Autonomous Memory File Management - Your memories are structured as intelligent folders. The memory agent automatically decides what to record, modify, or archive. Think of it as having a personal librarian who knows exactly how to organize your thoughts.

2. Interconnected Knowledge Graph - The system automatically creates meaningful connections between related memories, building a rich network of hyperlinked documents and transforming memory discovery from search into effortless recall.

3. Continuous Self-Improvement - Even when offline, the memory agent keeps working. It generates new insights by analyzing existing memories, identifies patterns, and creates summary documents through self-reflection.

4. Adaptive Forgetting Mechanism - The memory agent automatically prioritizes information based on usage patterns. Recently accessed memories remain highly accessible, while less relevant content is deprioritized or forgotten. This creates a personalized information hierarchy that evolves with your needs.

Like robots.txt, But for AI Actions 🌐🤓

AI agents are currently playing a ridiculous game of charades with websites, staring at screenshots, clicking randomly, and hoping for the best.

Someone finally decided this was insane and built a better way. AURA (Agent-Usable Resource Assertion) is an open protocol that gives websites a voice to speak directly to AI agents, replacing fragile screen scraping with structured, permission-based interactions.

Think of it as the missing link between llms.txt (which helps AI read your content) and a full API (which requires extensive development). AURA sits in the sweet spot: a simple aura.json file that describes what an agent can do on your site and how to do it, from logging in users to creating posts to searching databases. The protocol includes dynamic state management through HTTP headers, so agents always know their current permissions and available actions.

Key Highlights:

1. Declarative over imperative - Websites explicitly define available actions instead of forcing AI to reverse-engineer functionality through DOM parsing and visual guessing games.

2. Dynamic state management - The AURA-State header keeps agents informed about current context and permissions, so they know what they can and can't do at any moment.

3. Security by design - Site owners maintain complete control over agent capabilities, defining exactly which actions are permitted rather than hoping bots behave themselves.

4. Zero infrastructure overhead - Adding AURA support requires only a static JSON file, making it as easy to implement as creating a robots.txt or sitemap.

5. Framework agnostic - Works with any web technology stack since it's just HTTP and JSON, with reference implementations available for quick setup.

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Quick Bites

Stop doomscrolling Instagram and TikTok. Anthropic just dropped around 7 hours of YouTube content covering how to build with Claude 4, real-world implementations, and best practices for the Anthropic API, CLI tools, and MCP. These videos are recorded by the actual creators of these products, so you'll get insider tips and insights you won't find anywhere else.

Brave just released AI Grounding for the Search API, plus a “Research with Reasoning” mode that runs multi-search, planning, and cites web sources. On SimpleQA, Research hits 94.1 F1 (SOTA), edging Perplexity Deep Research at 93.9 and well above Sonar Pro at 85.5. Pricing for the new AI Grounding plan is $4 per 1k web searches + $5 per million tokens.

Grok 4 is now free for all users worldwide. You can either use Auto mode, where Grok will route complex queries to Grok 4, or choose Expert mode to always use Grok 4. The xAI team says they are rolling out generous usage limits (without specifying the exact number) for a limited time, allowing users to experience the model.

Tools of the Trade

1. Open Lovable: Paste website URL and AI agents will instantly create a working clone you can build on top of, powered by OpenAI GPT-5, all completely open source.

2. llmswap: Switch between Anthropic, OpenAI, Google, and local models with one line of code. It reduces LLM API costs by 50-90% through TTL-based caching, memory limits, and auto-fallback between providers when one fails.

3. AI Sheets: A no-code spreadsheet-like tool for building, transforming, and enriching datasets using open AI models. New columns are created by writing prompts, and you can iterate as many times as you need and edit the cells/validate cells to teach the model what you want.

4. Anything Agent: Generates complete mobile and web applications from simple text prompts - no coding knowledge required. Ships with complete backend, database, authentication, payments, and logs. Build, preview, and publish functional apps across iOS, Android, and web platforms in minutes.

5. Awesome LLM Apps: Build awesome LLM apps with RAG, AI agents, MCP, and more to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos, and automate complex work.

Hot Takes

1. GPT-5 failed twice.

   Scaling laws are coming to an end.

   Open-source AI will have the Mandate of Heaven. ~
   Yuchen Jin
   
   

2. Silicon valley is one of the most dystopian places I've ever lived

   -Companies with millions in funding next to people tweaking on the streets.

   -VCs trying to fund 13 year old kid

   And the endless feeling you're a day away from becoming irrelevant

   How the hell did we get here? ~
   Vikram

That’s all for today! See you tomorrow with more such AI-filled content.

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