Today, we are excited to release FLUX.1 Kontext, a suite of generative flow matching models that allows you to generate and edit images. Unlike existing text-to-image models, the FLUX.1 Kontext family performs in-context image generation, allowing you to prompt with both text and images, and seamlessly extract and modify visual concepts to produce new, coherent renderings.
Model Context Protocol (MCP) has stirred up quite a storm on Twitter—but is it actually useful, or just noise? In this debate, Harrison Chase (LangChain CEO) and Nuno Campos (Head of LangGraph) discuss whether MCP lives up to the hype.
I started skeptical about MCP, but I've begun to see its value. Essentially: MCP is useful when you want to add tools to an agent you don't control.
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This guide is still work in progress. Any and all feedback is highly appreciated, it doesn't have to be suggestions, even questions regarding things you didn't understand can help me figure out what to refine.
