Build AI Agents with MCP, Memory & RAG

Today’s top AI Highlights:

1. Vibe code web apps, MCP servers, custom SaaS, internal tools, and more with this desktop app

2. Build AI agents with MCP, memory, RAG, and visual debugging

3. Visa’s suite of APIs for AI agents to shop and pay on users’ behalf

4. Anthropic releases Integrations for Claude using remote MCP

5. A super-fast general AI agent with its own computer

& so much more!

Read time: 3 mins

AI Tutorial

Charts, diagrams, and visual data in PDFs remain a massive blind spot for most RAG systems. While text-based RAG has become relatively straightforward to implement, extracting meaningful insights from visual elements requires specialized approaches that many developers struggle to implement efficiently. The standard workaround of OCR followed by text embedding loses crucial context and fails completely with complex visual elements.

In this tutorial, we'll build a cutting-edge Vision RAG system that uses Cohere's Embed-4 model to create unified vector representations that capture both visual and textual elements. Then, we'll use Google's Gemini 2.5 Flash to analyze these retrievals and generate comprehensive answers by fully understanding the visual context.

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

Everything Builder for Your Computer 🧑‍💻 🧩 🧠

Memex is a desktop app that lets you build complete software projects just by describing what you want in simple language. This vibe coding tool sits between terminal-based agents like Claude Code and editor-integrated assistants like Cursor, combining their capabilities into a single platform that can autonomously generate, run, and debug code for you. Developers, product managers, and tech-savvy professionals can use Memex to quickly prototype ideas, build full-stack applications, or create data dashboards without writing a single line of code themselves.

Unlike Claude Code and OpenAI Codex CLI, Memex appeals to both seasoned developers and tech-savvy non-coders who prefer a more intuitive experience than command-line tools.

Key Highlights:

1. Flexible Tech Stack - Memex doesn't lock you into specific frameworks or languages. You can build with any programming language, create for any platform, and deploy anywhere, allowing you to quickly prototype in unfamiliar stacks too.

2. Local-First - Files and projects live on your computer, giving you complete ownership and privacy. Since it's desktop-based rather than web-based, you can work with local resources and files directly without worrying about data leaving your machine.

3. Dual-Mode - Switch between chat mode for planning and learning, and build mode for coding and execution. This gives you the flexibility to discuss ideas before jumping into implementation or to pause coding to ask questions mid-project.

4. Customizable Autonomy - Control how Memex works with your code through project-specific rules. You can let it build autonomously or approve each command it suggests, finding the perfect balance between productivity and control for your workflow.

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AI Agents with Unified APIs, MCP, Memory, and RAG 🛠️ 🧠 🧑‍💻

Voltagent brings TypeScript-powered AI agent development to full-stack developers with a framework that eliminates both no-code limitations and from-scratch headaches. This open-source toolkit provides everything you need to build, customize, and orchestrate AI agents while maintaining complete control over your codebase.

Built for serious developers who want production-ready agents without the usual setup pain, Voltagent handles the complex architecture so you can focus on creating intelligent applications that actually solve problems.

Key Highlights:

1. Tool System + MCP Support - Equip your agents with custom functions to interact with external APIs, databases, and services using the built-in tool system. Voltagent fully supports the MCP, letting you connect to specialized tool servers without writing custom integrations for each data source.

2. Persistent Memory - Create agents that remember past interactions and maintain contextual awareness across conversations. The flexible memory system lets you choose your storage provider and retention policies, so your agents can build on previous experiences with users rather than starting from scratch every time.

3. RAG Integration - Implement sophisticated RAG with Voltagent's integrated vector database support. The framework handles metadata filtering, hybrid search, and seamlessly connects your knowledge base to your agents, enabling them to provide accurate, context-aware responses.

4. Developer-First - Everything in Voltagent is designed for real developers: visually debug and monitor your agents through the Console, switch between different AI providers with a unified API, and build multi-agent systems with supervisor orchestration. The clean TypeScript integration makes it easy to extend, customize, and maintain your agent code as your applications grow.

Quick Bites

Microsoft has released a reasoning beast packed in a small size — meet the new Phi-4-reasoning models. The lineup includes Phi-4-reasoning (14B), Phi-4-reasoning-plus, and Phi-4-mini-reasoning (3.8B), all trained to handle complex math, planning, and science tasks with detailed reasoning steps. Despite their size, they outperform bigger models like DeepSeek-R1-Distill-70B and OpenAI’s o1-mini on key benchmarks like AIME and GPQA. These models are now available on Azure AI Foundry and Hugging Face.

China’s Xiaomi has released MiMo-7B, an opensource 7B reasoning model built specifically for code and math reasoning. Trained from scratch on 25 trillion tokens, the MiMo-7B lineup includes base, SFT, and RL-tuned versions — where the RL-tuned version matches the performance of much larger models like GPT-4o and DeepSeek R1-Distill-Qwen-14B across benchmarks. The models can be downloaded from Hugging Face and ModelScope, with local inference supported via vLLM and Hugging Face Transformers.

Another proof of AI agents entering mainstream use — Visa just introduced “Visa Intelligent Commerce,” a new initiative for AI agents to securely shop and pay on your behalf. This suite of tools includes AI-ready payment credentials, spending limits, and personalization APIs for developers and platforms building consumer agents. With this, agents can browse, select, purchase, and even manage transactions — while Visa handles the security behind the scenes. Visa is working with OpenAI, Anthropic, Microsoft, Mistral, Perplexity, Stripe, and others to make this secure and reliable.

Anthropic has released a new feature, Integration in Claude — now you can connect apps like Jira, Confluence, Zapier, Intercom, and more directly to Claude. Claude can work with your tools using remote MCP servers, giving it deep context about your projects and letting it take action. Developers can also create and deploy their own integrations in under 30 minutes using Cloudflare or custom setups.

Besides this, Anthropic has also released an update to Claude’s Research feature. When you toggle on the Research button, Claude breaks down your request into smaller parts, investigating each deeply, and compiles a comprehensive report in 5-15 minutes. Claude may take up to 45 minutes for more complex investigations. Integrations and the new Research feature are available to Max, Team, and Enterprise users only.

Tools of the Trade

1. Vibesuite: Adds instant notifications, sound alerts, and tab-switching automation to tools like v0.dev and lovable.dev so you don’t waste time staring at loading screens and AI agents “generating”. It also tracks code generation time and updates tab titles with status. (basic features that should’ve been implemented by these platforms in v1)

2. Scout by Scrapybara: General-purpose AI agent with its own virtual Ubuntu computer that can browse the web, run terminal commands, write code, and handle files. You give it a prompt and optional files, and it works independently—whether for quick tasks or long-running jobs.

3. Haystack Editor: Turns complex diffs into structured sections for visual review. It displays pull requests on an infinite canvas using AI to organize. It supports multiple programming languages and includes collaboration features directly on the canvas.

4. 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. In 18 mo or so, 30% of design will also be done by AI. It is inevitable. Taste will matter more than ever. ~
   Suhail

   
   

2. Hot take: GPTs do not think before they speak, and this is currently addressed by making them speak even more, which is misguided. ~
   François Fleuret

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

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