Do we even need Anthropic or OpenAI's top models, or can we get away with a smaller local model? Sure, it might be slower, ...

Running AI models locally is extremely useful, but there are obvious limitations to it. Most setups are tied to just the computer that's running the model and, usually, if you switch over to another ...

A private AI empire via Docker.

ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the ...

Goose acts as the agent that plans, iterates, and applies changes. Ollama is the local runtime that hosts the model. Qwen3-coder is the coding-focused LLM that generates results. If you've been ...

Running open-source AI locally in VS Code proved possible, but the path was more complicated than the polished model catalogs initially suggested. On a modest company laptop with 12 GB of RAM and no ...

Using local AI is responsible and private. GPT4All is a cross-platform, local AI that is free and open source. GPT4All works with multiple LLMs and local documents. As far as AI is concerned, I have a ...

Genspark Claw for Desktop brings AI directly to your local computer and files Genspark for Microsoft Office embeds AI agents natively in PowerPoint, Excel, and Word Released just three weeks after ...