GDevelop is a complete, feature-rich, open-source game engine offering a visual programming system that eliminates the need for code. Create stunning games using pre-built behaviors, intuitive events, asset store resources, real-time previews, and seamless exporting tools.
Build once → Export to Web, Windows, macOS, Linux, Android, iOS. No limits. No paywall. No coding required.
GDevelop stands out as one of the most powerful and accessible open-source game engines available today. Whether you’re a complete beginner or an experienced creator, its no-code event system, built-in behaviors, cross-platform export options, and active community make it an exceptional choice for building 2D, 3D, and multiplayer games without complexity.
Want more stories worth your time?
Add us to your Google favorites. We cover the tech stories, AI developments, and open-source projects that are easy to miss in the noise.
Most AI tools can answer questions about your documents.
But there's a problem with the usual approach.
You add a bunch of files, ask a question and the AI searches through them to find an answer. Ask something else later and it does much of the same work again.
LLM Wiki on the other hand, uses an LLM to build a persistent, structured wiki from them.
Add a collection of documents and LLM Wiki analyzes them, creates pages for important entities and concepts, connects related information and keeps the knowledge base updated as you add more sources.
That means your knowledge doesn't just sit inside a folder waiting to be searched.
It gradually becomes an interconnected collection of information that you can browse, search and ask questions about.
You know that page you read three months ago and somehow can’t find again?
Hister is built for exactly that problem. It turns the web pages you visit and the files you keep into your own searchable index, so you can search the actual content instead of trying to remember a title, URL, or where you saved it.
Want to run an AI model locally, but still use it with the tools you already have?
Atomic Chat makes that possible. It lets you run open-weight LLMs from Hugging Face on your own computer, then exposes them through an OpenAI-compatible API so coding agents, CLIs, IDE plugins and other apps can use your local models too.
You can run models such as Llama, Gemma, Qwen, Mistral and Phi, use Atomic Chat as a regular AI chat app, or connect it to tools such as OpenCode, Goose and Kilo Code. Your local conversations and API keys can stay on your machine, while cloud providers such as OpenAI, Anthropic, Mistral and Groq are available when you need them.
Under the hood, it also supports multiple inference engines and performance features such as speculative decoding, Flash Attention and TurboQuant on supported models and hardware.
So you're getting more than a local chatbot. Atomic Chat can act as the local AI layer behind the rest of your setup.
