

Myrhe𝕩
3.8K posts

@myrhex
Reliable and factual @SpaceXAI news 24/7 Founder @Searxly | Software Engineer




We are pleased to announce that the official source code for Searxly is now publicly available. Searxly is a privacy respecting native macOS browser built with SwiftUI and WebKit. It runs a fully local SearXNG instance via Docker on your machine and includes a complete real mode WireGuard VPN implementation. The repository contains the full browser user interface and logic, local SearXNG Docker management and configuration, the entire real mode WireGuard VPN system including the tunnel provider and routing, and all supporting components. This release is intended to support transparency, independent code review, and educational purposes within the community. Please note that the main application entry point has been intentionally omitted from the public repository. Fresh clones will not produce a runnable application out of the box. Official releases continue to be handled through proper distribution channels that include code signing and notarization. The source code is licensed under the Apache License Version 2.0. You may access the repository at github.com/Myrhex-x/Searx…. We are grateful for the ongoing support of our community and the holders of the $SEARXLY token on Base.


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I have officially open sourced Searxly. This project was developed with Grok Build and myself. From the earliest stages of architecture planning through to the completion of major implementation milestones, Grok Build served as an exceptional systems architect and development partner. The guidance provided on core design patterns, state management, privacy controls, and secure component isolation was instrumental in shaping a coherent and maintainable codebase. Grok Build contributed detailed design documentation that established a premium dark theme system, refined typography scales, spacing rules, and elevation tokens while preserving the existing liquid glass foundation and the reduce liquid glass accessibility toggle. The strategic direction on home state treatment, logo integration, and micro interaction refinement helped transform the interface from functional to intentionally luxurious and calm. Throughout the process Grok Build advised on the extraction of monolithic views into dedicated observable managers. This included the central BrowserState for search, tabs, web content coordination, and persistence, the LocalSearxngManager for robust Docker discovery and one click project folder creation with multi location bundle resource handling, the PrivacyManager for history controls, data encryption via CryptoKit and Keychain with user presence protection, panic wipe functionality, and domain forgetting, and the WireGuardManager together with the tunnel provider for explicit connect only full tunnel operation with accurate real versus demo mode detection through provider messaging. Grok Build also played a key role in the development of the hybrid local search suggestions engine that combines a curated base corpus with a Trie based prefix matcher and personal history scoring for frequency and recency, all stored within the encrypted AppData layer. Additional contributions covered tab hibernation and cleanup policies, content blocking rule compilation, session restoration, and the careful handling of ephemeral versus standard tab data stores in WebKit. The partnership extended to comprehensive security and distribution planning. This encompassed the honest documentation of the current disabled app sandbox state required for Docker and file system access, the detailed implementation notes for the packet tunnel extension that users must add manually for real VPN functionality, the use of example configuration templates to protect secrets in the public source only model, and the overall source only distribution approach that intentionally withholds the main application entry point from public clones. I am deeply appreciative of the disciplined, thorough, and forward thinking collaboration with Grok Build. The resulting codebase reflects a strong emphasis on user sovereignty, local data processing, and verifiable privacy mechanisms. Making Searxly open source allows the community to examine the implementation directly, conduct reviews, and build upon the foundation for their own learning or contributions. The repository is now available at github.com/Myrhex-x/Searx… under the Apache License Version 2.0. I look forward to seeing how the project evolves with greater visibility and input from the community that has supported it through the $SEARXLY token on Base. Thank you to everyone who has followed the development of Searxly, there's more to come.


X replaced the old dropdown menu in the DMs tab with three new buttons 👀 There's now a sort button on the left to organize your DMs, the message requests inbox is on the right and above is the settings button. It looks way better and has more consistency with the XChat app! 🔥

There is a massive offer available on Grok for SuperGrok Heavy plan It's just $99/month for the next 3 months Claim while it's available... On Grok you can use Grok, connectors, skills, Grok Imagine Agent, top-notch video and image generation You can literally plug your Grok subscription directly into Hermes Agent, OpenClaw, Kilo Code, and OpenCode with zero API keys required Plus you also unlock Grok Build


we are resetting rate limits so you all can try out Grok Build more! we now ship with a new checkpoint of Grok Build and Composer 2.5 as always looking for critical feedback to improve


We’re building Searxly: a native macOS browser designed for real privacy from the ground up. It runs your own SearXNG instance locally on your Mac (via Docker). No public instances. No tracking. No one else sees your searches or data. Your searches. Your control.

The batch of QA Tester is expected to happen tomorrow.


World Labs CEO Dr. Fei-Fei Li: "The world is not made of words." "Language models have given machines an extraordinary command of concepts, vocabulary, and reasoning, but the physical world, virtual or real, runs on a different substrate." "Where language models learn the statistical structure of text, world models learn the statistical structure of space and time: how light falls on a surface, how a garden looks from an angle no camera has captured, how objects respond to force and follow the laws of physics." "Language gave machines a way to talk about that world. World models are how machines will finally come to understand, imagine, reason and interact with it." Full piece: drfeifei.substack.com/p/a-functional…
