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Mem0 is the name everyone hears first. If your agent runs in TypeScript, TurboMem bets on a different model i.e embedded memory in your process, not another service to operate. Here is an honest comparison based on hard facts. If you are building an AI agent that needs to remember things across sessions, you have probably run into Mem0 already. It is one of the most talked about memory layers in the space, well funded and framework agnostic. But if your stack is TypeScript, there is a newer option worth a serious look: TurboMem . It takes a different architectural bet, and for a lot of TS focused companies, that bet pays off. The core difference: embedded vs server based This is really the whole story, and it is worth understanding before anything else. Mem0 is built around a separate memory service. Even in its open source form, the typical setup wires up a Postgres instance with pgvector, or Qdrant, plus optionally Neo4j for graph memory, then talks to that stack either through the Python Memory class or over an HTTP API. Every memory read or write crosses a process boundary. TurboMem skips that boundary entirely. It runs inside your Node, Bun, or browser process as a native TypeScript library. There is no sidecar, no separate memory server, and no network hop for a local memory call. You call memory.add() or memory.search() and it executes in process, backed by PGlite (a WASM build of Postgres) by default. If you are shipping a TypeScript product and want memory to behave like any other library you import, this is a meaningfully simpler model. Getting started With TurboMem, setup is about as light as it gets: npm install turbomem PGlite ships as a dependency, so the default stack (OpenAI embeddings plus PGlite storage) works right after install, no database to provision. With Mem0, self hosting means standing up actual infrastructure. The typical Docker Compose deployment involves a Postgres container with the pgvector extension, optionally a Neo4j container for

I’m VikingRob—Full-Stack Dev, SaaS Builder, and Solo Survivor. Hello I Just wanted to introduce myself. I’m Robert, but most people know me as VikingRob (thanks to a long red beard and a habit of grinding through hard Jobs with a foul mouth. Down to earth guy I'm a No B.S Person. I’ve been surviving in the trenches of solo entrepreneurship and freelancing for a while now. Lately, the market feels incredibly flooded, and landing solid, consistent work has become a massive mountain to climb. I’ve managed to keep things moving with some passive income from selling front-end and back-end sites I've built, but as anyone with a family knows, "passive" rarely means "enough" when consistency drops. I’m supporting a family of five—including a wife dealing with severe mental health challenges—so the pressure to secure steady, reliable income is incredibly real right now. To adapt, I am shifting my core focus toward offering full-scale services: Custom Website Architecture (End-to-end development) Front-End & Advanced Back-End Integration SaaS Product Development A lot of my heaviest back-end work is locked away under strict NDAs, which makes traditional portfolio-sharing tough, and I don't maintain standard social media accounts. But I know how to build clean, functional, scalable software that drives results. If you're looking to collaborate, need an engineering heavy-lifter for a SaaS project, or just want to swap freelance survival stories, let’s connect! What is everyone else doing to beat the market noise right now?

Every camera-equipped connected device you build today, from a smart doorbell to an ESP32-CAM streaming frames over Wi-Fi to a factory machine-vision rig, is a descendant of one clunky, toaster-sized prototype: the first digital camera , built at Eastman Kodak in December 1975. It weighed about 8 pounds, took 23 seconds to capture a single 0.01-megapixel black-and-white image, and recorded that image to a cassette tape. It looked like a science-fair project, but it proved a radical idea that underpins the entire IoT sensing industry: an image could be captured, digitized, and stored as data with no film at all. An engineer, a side project, and a CCD The camera was built by a 24-year-old Kodak engineer named Steven Sasson . His manager had handed him a loose assignment: could the newly invented charge-coupled device (CCD) image sensor be used to build a camera with no moving film? The CCD, developed at Bell Labs in 1969, converts light falling on an array of tiny capacitors into electrical charge, pixel by pixel. Sasson took a Fairchild 100-by-100-pixel CCD, bolted it to a lens from a Super 8 movie camera, added a digitizer, and wired the output to a portable cassette recorder. The result captured just 0.01 megapixels, a grid of 10,000 pixels. To view a photo, Sasson's team built a custom playback rig that read the tape and painted the image onto a television screen. That first image, a Kodak lab technician, took 23 seconds to write to tape and several more to display. Crude, yes, but it was the first fully electronic, filmless photograph. Why Kodak shelved the future Here is the twist that every embedded engineer should remember. Kodak owned the patent on the first digital camera, but the company made its money selling film, chemicals, and photo paper. Executives saw a filmless camera as a threat to that business, so the project was quietly set aside. Kodak did file the patent in 1978 and collected licensing revenue for decades, but it never led the digital transiti

In a rare combined cybersecurity/squid post, a twenty-nine-year-old squid proxy bug can leak HTTP requests. As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered. Blog moderation policy.

The rule revives a proposed FTC protection that was abandoned last year.

Apple alleges the misconduct was directed by OpenAi's senior leadership, including a long-time former employee.

The iPhone maker claims OpenAI encouraged poached employees to bring over confidential presentations, secret prototypes, and key supplier details.

The Quest shipwreck is in worse shape than expected, but it has turned into a thriving marine ecosystem.

When Niantic dropped the first Pokémon Go trailer in 2015, it was hard to grasp how a bunch of players could work together to catch a pokémon like Mewtwo. But this week at the game's 10th anniversary event in New York City, Pokémon Go showed the world how it's done. Almost 2,000 players (many of […]

Six years in prison for man who "sold out the very victims he was hired to represent."

Backlash online is changing how (or if) people wear Meta's smart glasses.

Stubhub CEO Eric Baker is pouring millions of dollars into the ticket-scalping market, CBC reports.

The children who get a combination shot are some of the most vulnerable.

Advocates are demanding that the Department of Homeland Security release bodycam footage of the fatal shooting of Lorenzo Salgado Araujo, a Mexican immigrant who was killed by ICE officers in Houston during a traffic stop earlier this week. But DHS claims the agents involved in the shooting weren't wearing body cameras because of the lengthy […]

A year and a half ago, I wasn't trying to build an AI company. I was building a small social platform called spritex-social — nothing fancy, just a side project a handful of friends were testing with me. No grand plan, no investors, no roadmap beyond "let's see if people like this." At some point, users started asking the same basic questions over and over: how do I change my profile, where's this setting, how does that feature work. Instead of writing endless documentation, I thought — why not just let AI answer this? So I wired up Google's Gemini API through Google AI Studio, built a small Retrieval-Augmented Generation (RAG) system, and gave it context about the platform. It was supposed to be a support chatbot. Nothing more. That's not how it went. I found myself spending more time improving the chatbot than improving the actual social app. Every small upgrade made me ask another question: could it remember conversations? Could it use tools? Could it search the web? Could it do things instead of just answering questions? The more I asked, the less interested I became in the social platform I was supposed to be building. Eventually I had to admit it to myself: I wasn't building spritex-social anymore. I was building something else entirely. So I stopped. Not because the project failed — because my attention had already moved somewhere else, and I finally stopped pretending otherwise. That "somewhere else" became RexiO — a Bangla-first AI platform I've been building solo ever since: my own orchestration layer, an intent classifier, 30+ tools, model routing across providers, and eventually our own fine-tuned models trained from scratch on borrowed Colab GPUs. RexiO went public on July 10, 2026. This chatbot pivot is just one chapter of a much longer story — one that actually starts on a Nokia button phone, ২ টাকা data packs, and a ৳20 freelance job that became my first line of code in production. I wrote the whole thing down, unfiltered — the rewrites, the 12-hour

Stop Writing Prompt Strings: Meet PromptForge Core As AI becomes part of modern applications, prompts are no longer just strings—they're becoming part of your codebase . Yet most of us still write prompts like this: const prompt = " You are a helpful assistant. \n " + " Summarize the following text. \n " + " Return the output as JSON. \n " + " Keep it concise. \n " + " Use simple language. " ; This works... Until your project grows. The Problem As prompts become larger, they quickly become difficult to maintain. You start dealing with: ❌ Giant string templates ❌ Copy-pasted prompts ❌ Missing variables ❌ Inconsistent formatting ❌ Provider-specific implementations ❌ Difficult debugging Unlike your application code, your prompts have: No structure No validation No type safety What if prompts were treated like code? That's exactly why I built PromptForge Core . PromptForge is an open-source TypeScript toolkit for building production-ready prompts using a clean, structured API. Instead of writing strings... const prompt = " You are... " You write import { pf } from " @promptforgee/core " ; const summarize = pf . define ({ input : z . object ({ text : z . string (), }), output : z . object ({ summary : z . string (), }), messages : ({ text }) => [ pf . system ` You are an expert summarizer. ` , pf . user ` Summarize: ${ text } ` , ], }); Much easier to read. Much easier to maintain. Features PromptForge focuses on developer experience. ✅ Type-safe prompt definitions ✅ Structured prompt composition ✅ Prompt compilation ✅ Validation ✅ Provider-agnostic architecture ✅ Reusable prompt blocks ✅ Modern TypeScript API Compile Once, Use Anywhere Instead of maintaining different formats for every provider... PromptForge compiles your prompt into provider-specific formats. Prompt Definition ↓ Prompt Compiler ↓ OpenAI Anthropic Gemini Ollama Write once. Compile anywhere. Composable Prompts Large AI applications usually repeat the same instructions. With PromptForge you can compose p

While building a Computer-Based Testing (CBT) platform, I ran into an unexpected problem. Creating mathematics and chemistry questions wasn't nearly as straightforward as I expected. Although there are many excellent editors and open-source libraries available, I couldn't find one that brought everything together in a way that was simple, lightweight, and designed specifically for CBT systems. Instead of building everything from scratch, I took a different approach. I combined several powerful open-source technologies into a single editor that focuses on one job—making it easy to create mathematics and chemistry content for online examinations. The result is CBT Editor, a free and open-source equation editor built for developers, schools, and educational platforms. It supports common mathematical expressions, chemistry notation, scientific symbols, fractions, superscripts, subscripts, and more, while remaining easy to integrate into existing projects. This project isn't meant to replace the fantastic libraries that already exist. In fact, it depends on them. The goal is to provide a clean, unified experience so developers don't have to spend hours combining multiple tools just to support technical examination questions. If you're building a CBT platform, an online examination system, or any educational application that requires mathematics and chemistry editing, I'd love for you to give CBT Editor a try and share your feedback. 🔗 Live Demo: https://holygist.github.io/cbt-editor/ Open-source software grows through collaboration. If you find the project useful, feel free to contribute, report issues, suggest improvements, or simply share it with other developers.

The Complete TypeScript Mastery Guide Navneet Verma Navneet Verma Navneet Verma Follow Jul 10 The Complete TypeScript Mastery Guide # typescript # webdev # systemdesign # tutorial 5 reactions Add Comment 54 min read

Learn TypeScript From First Principles to Senior/Staff-Level Production Engineering If you searched for how to learn TypeScript properly — not just the syntax, but the thinking behind it — this guide is built for that. Most TypeScript tutorials stop at "here's an interface, here's a generic." This one goes further: it's a single, exhaustive TypeScript tutorial and reference that walks through the type system, object-oriented programming, generics, async programming, design patterns, SOLID and DRY principles, error handling, testing, and the tooling that real production teams run in CI — the same TypeScript best practices used at top-tier engineering organizations. Whether you're a beginner looking for a structured TypeScript for beginners path, or an experienced JavaScript developer making the jump to advanced TypeScript and system design, you can read this end to end or jump straight to the section you need using the linked table of contents below. Table of Contents 1. Introduction — What Is TypeScript & Why It Exists 2. Installation, Setup & tsconfig.json Deep Dive 3. Variables & the Complete Type System 4. Functions — Every Form, Overloads, this , and Best Practices 5. Arrays & Tuples 6. Objects & Type Aliases 7. Interfaces 8. Enums & Literal Types 9. Union, Intersection & Discriminated Unions 10. Type Narrowing, Assertions & Type Guards 11. Classes & Object-Oriented Programming 12. Generics — Basic to Advanced 13. Modules, Namespaces & Project Structure 14. Asynchronous Programming — Event Loop to Production Patterns 15. Advanced/Utility Types & the Type-Level Programming Toolkit 16. Design Patterns in TypeScript 17. SOLID, DRY, KISS, YAGNI — Principles Applied With Real TS Code 18. Error Handling Strategies 19. Testing TypeScript 20. Tooling, Linting, Build Systems & CI/CD for Production TS 21. Performance, Compiler Internals & Scaling Large Codebases 22. Interview Cheat Sheet (Expanded) 23. One-Page Quick Revision Sheet 1. Introduction — What Is TypeScript & W

Here we're going to cover the installation steps of Browsers in Linux - specifically, Debian GNU/Linux . We're covering the procedural steps for this in Debian Testing (Forkey), which is already beginning the gleanings of what will become Debian 14. At the time of writing,the current kernel version is 7.0.13+deb14-amd64. Daily drivers will likely be along the lines of Vivaldi, Firefox, Lagrange, and Brave Browser, and in no particular order. Any others will be mostly for particular reasons like, testing, curiosity, Etc., but some specialized products like the Tor browser, which focus on privacy are also covered. This list is by no means complete, but there's a bunch of them we cover, so let's jump right in! I can haz #Cheezburgerz? 🍔 🍟 Well, let's see... First up is the first rate and fully featured Vivaldi, built on top of the open source Chromium, as are so many others in this list. Vivaldi Manual setup of the Vivaldi Linux repos - According to their website, "you no longer need to do this. After downloading a Linux package and installing it our Linux update repositories will be configured automatically for you to receive updates." That's awfully nice, so visit the download page above and get the .deb package: ~# mkdir -pv /usr/local/packages/vivaldi ; cd /usr/local/packages/vivaldi ~# wget https://downloads.vivaldi.com/stable/vivaldi-stable_8.1.4087.48-1_amd64.deb ~# apt install ./vivaldi * .deb That's it! You're ready to go now. Next up... Firefox ~# apt update && apt install firefox-esr There's none of this messing about anymore with softforks and trying to remember their names...'IceCat?', 'IceWeasel?'. The Trademark issues over branding have been resolved (and that's a good thing). The one thing you might want to look into is SeaMonkey , which combines the Browser with an email client (like Thunderbird), an RSS Reader, IRC client, and a few other goodies. Brave Browser ~# apt install curl ~# curl -fsSLo /usr/share/keyrings/brave-browser-archive-keyring.gpg ht