# muse Published articles for muse. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Muse review: The personal AI agent that gets consumer UX right DevFeed: [Muse review: The personal AI agent that gets consumer UX right]() Original publisher: [Read original article]() Author: Claire Vo Published: 2026-09-16T12:02:14Z Content type: opinion Language: en Sources: [Lenny's Newsletter]() Topics: [AI Agent](), [User experience (UX)](), [Meta](), [browser](), [pdf](), [codex]() Tags: [agent](), [ai](), [ai-agent](), [browser](), [codex](), [comparison](), [meta](), [muse](), [pdf](), [product-design](), [ux]() ### AI overview This review tests Meta's Muse personal AI agent through onboarding, calendar management, goal setting, document generation, and browser-based shopping. It finds strong consumer UX, permission handling, activity-feed design, and avatar design, while browser shopping performance is mixed. ### Source excerpt Watch now (38 mins) | 🎙 I gave Meta's Muse my calendar, my email, and my kids' chaotic schedule, and it produced a one-shot family PDF more beautiful than anything I've ever made with Claude or Codex ## Meta Just Launched an AI That Uses Websites for You. That Could Be a Big Deal for Web Designers DevFeed: [Meta Just Launched an AI That Uses Websites for You. That Could Be a Big Deal for Web Designers]() Original publisher: [Read original article]() Author: Noah Davis Published: 2026-09-09T15:12:00Z Content type: article Language: en Sources: [Web Designer Depot]() Topics: [AI Agent](), [User interface design](), [Artificial Intelligence](), [Accessibility](), [computer-use](), [Document Object Model (DOM)](), [Claude]() Tags: [accessibility](), [agentic-ai](), [ai](), [ai-agent](), [ai-agents](), [ai-automation](), [ai-tech](), [artificial-intelligence](), [browser](), [browser-agents](), [cloud](), [design](), [design-trends](), [forms](), [future-of-the-web](), [future-of-web-design](), [human-computer-interaction](), [meta](), [meta-muse](), [muse](), [muse-ai](), [ui-design](), [user-experience](), [ux](), [ux-design](), [visual-hierarchy](), [web-accessibility](), [web-design](), [web-development](), [website-design]() ### AI overview The article examines Meta's Muse personal AI agent and argues that web designers may need to design websites for both human visitors and agents acting on users' behalf. It highlights semantic structure, accessibility, predictable controls, and trust as important considerations. ### Source excerpt Your website's next visitor might not be human. Meta's new Muse agent can navigate sites, fill out forms and take action for you--and it could force web designers to rethink exactly who they're designing for. ## Muse Image now available on AI Gateway DevFeed: [Muse Image now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-26T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [Artificial Intelligence](), [Meta](), [vercel ai sdk](), [API](), [superintelligence](), [Inference]() Tags: [ai](), [ai-gateway](), [api](), [image](), [inference](), [meta](), [meta-muse](), [model](), [models](), [muse](), [pricing](), [sdk](), [superintelligence](), [uptime]() ### AI overview Muse Image, Meta Superintelligence Labs' first image model, is now available through Vercel's AI Gateway. It supports both image generation from prompts and instruction-based image editing, including reference images, through the AI SDK. AI Gateway also provides unified model access, usage and cost tracking, failover, routing, reporting, budgets, and performance optimizations without markup or platform fees on inference. ### Source excerpt Muse Image from Meta Superintelligence Labs is now available on AI Gateway. It is their first image model and a separate family from Muse Spark, returning images rather than text. Send a prompt and get an image back, or send an image with an instruction and get it changed. One model does both, so you don't switch models to move from generating to editing. To use Muse Image, set model to meta/muse-image-1.0 and call generateImage from the AI SDK: To steer the result toward art you already have, pass reference images in prompt.images alongside the text, and the model blends them into what it draws. Editing Pass the image you want changed in prompt.images with an instruction, and the model changes what you asked for and leaves the rest: Try Muse Image in the model playground. AI Gateway provides a unified API for calling models, tracking usage and cost, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, budgets for API keys, routing rules, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. You can view all image models available on AI Gateway. Read more ## Meta is back with Muse Glimmer: local, agentic, multimodal, and open source DevFeed: [Meta is back with Muse Glimmer: local, agentic, multimodal, and open source]() Original publisher: [Read original article]() Author: Pedro Cuenca; merve; ben burtenshaw; Aritra Roy Gosthipaty Published: 2026-08-10T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [vlm](), [multimodal](), [Artificial Intelligence](), [hugging face](), [Benchmark](), [coding]() Tags: [agentic](), [artificial-intelligence](), [benchmark](), [hub](), [hugging-face](), [images](), [llama-cpp](), [llms](), [local](), [meta](), [model](), [multimodal](), [muse](), [open-source](), [videos](), [vllm](), [vlm](), [vlms]() ### AI overview Hugging Face presents Muse Glimmer, a local, agentic, multimodal, open-source 30B-parameter vision-language model developed with Meta. The article outlines its vision and language architecture, benchmark context, optional speculative decoding for faster generation, and support for both images and videos. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Muse Spark 1.2 is now available on Vercel AI Gateway DevFeed: [Muse Spark 1.2 is now available on Vercel AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-08-05T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [AI-assisted coding](), [vercel ai sdk](), [debugging]() Tags: [agent](), [ai-gateway](), [api](), [code-generation](), [debugging](), [muse](), [spark](), [vercel]() ### AI overview Muse Spark 1.2 is available on Vercel AI Gateway as a coding-focused model update, with stated improvements in code generation, debugging, codebase understanding, and iterative developer workflows. ### Source excerpt Muse Spark 1.2 from Meta is now available on AI Gateway. It is a coding-focused update to the previous Muse Spark model. While keeping its general capabilities, 1.2 ships with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows. The model is built for long-horizon work like generating whole repositories, building out large projects end to end, and sustaining iterative loops where it writes, compiles, profiles, and improves code over many rounds. To use Muse Spark 1.2, set model to meta/muse-spark-1.2 in the AI SDK: To use Muse Spark in a coding agent, run vercel ai-gateway coding-agents setup to connect Claude Code, Codex, OpenCode, or Pi, then select meta/muse-spark-1.2 inside the agent. AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. Try Muse Spark 1.2 in the model playground. Read more ## Muse Spark 1.1 is now available on AI Gateway DevFeed: [Muse Spark 1.1 is now available on AI Gateway]() Original publisher: [Read original article]() Author: Jerilyn Zheng Published: 2026-07-09T00:00:00Z Content type: release Language: en Sources: [Vercel News]() Topics: [AI Models](), [multimodal](), [long-context](), [Model Context Protocol](), [vercel ai sdk](), [API keys](), [Routing (disambiguation)]() Tags: [agent](), [agentic](), [ai](), [audio](), [context-window](), [image](), [leaderboard](), [model](), [multimodal](), [muse](), [pricing](), [ranking](), [routing](), [sdk](), [spark](), [tokens](), [tool](), [tools]() ### AI overview Muse Spark 1.1 from Meta is now available through Vercel's AI Gateway. It is a multimodal reasoning model with a 1M-token context window for agentic tasks, supporting multiple input types, tool orchestration, MCP servers, custom skills, parallel tool calls, structured output, and search with citations. ### Source excerpt Muse Spark 1.1 from Meta is now available on AI Gateway. It is a multimodal reasoning model with a 1M token context window built for agentic tasks, accepting text, image, video, PDF, and audio inputs. Muse Spark 1.1 plans and orchestrates work across tools and services, operating as a main agent or as a subagent, and it works with new tools, MCP servers, and custom skills without examples. The model supports parallel tool calling, structured output, and built-in search with citations. To use Muse Spark 1.1, set model to meta/muse-spark-1.1 in the AI SDK: AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting, Zero Data Retention support, budgets for API keys, routing rules, and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key (BYOK) requests. Try Muse Spark 1.1 in the model playground. Read more ## Emacs Muse meets Common Lisp DevFeed: [Emacs Muse meets Common Lisp]() Original publisher: [Read original article]() Author: Dimitri Fontaine PostgreSQL Major Contributor; Author Published: 2013-07-08T11:34:00Z Content type: article Language: en Sources: [Dimitri Fontaine]() Topics: [Emacs](), [Common Lisp](), [Publishing](), [HTML](), [Lisp](), [Website]() Tags: [emacs](), [git](), [hooks](), [html](), [lisp](), [muse](), [static](), [test]() ### AI overview The article describes using Emacs Muse to write and publish a blog, including support for inline images and static website generation. It then explains replacing the Emacs Lisp-based setup with a Common Lisp project that parses Muse files, generates HTML, and dynamically adds site sections through server-side includes. ### Source excerpt This blog of mine is written in the very good Emacs Muse format, that I find much more friendly to writing articles than both org-mode and markdown-mode that I both use in a regular basis too. The main think that I like in Muse that those two others lack is the support for displaying images inline. *Here's what it looks like to edit with Emacs Muse* The Muse publishing system The idea is that you edit .muse files in Emacs then use a command to publish your file to some format like HTML. You can also publish a whole project, and then enjoy a fully static website that you can deploy on some URL. ## Emacs Muse based publishing DevFeed: [Emacs Muse based publishing]() Original publisher: [Read original article]() Author: Dimitri Fontaine PostgreSQL Major Contributor; Author Published: 2009-10-06T15:23:00Z Content type: tutorial Language: en Sources: [Dimitri Fontaine]() Topics: [Emacs](), [rsync](), [Command-line interface]() Tags: [command-line](), [emacs](), [muse](), [rsync]() ### AI overview An Emacs Muse publishing workflow uses an interactive Emacs command to publish a blog with rsync, including optional synchronization of static CSS, image, and PDF directories. ### Source excerpt As you might have noticed, this little blog of mine is not compromising much and entirely maintained from Emacs. Until today, I had to resort to term to upload my publications, though, as I've been too lazy to hack up the tools integration for simply doing a single rsync command line. That was one time to many: (defvar dim:muse-rsync-options "-avz" "rsync options") (defvar dim:muse-rsync-source "~/dev/muse/out" "local path from where to rsync, with no ending /") (defvar dim:muse-rsync-target "dim@tapoueh.org:/home/www/tapoueh.org/blog.tapoueh.org" "Remote URL to use as rsync target, with no ending /") (defvar dim:muse-rsync-extra-subdirs '("../css" "../images" "../pdf") "static subdirs to rsync too, path from dim:muse-rsync-source, no ending /") (defun dim:muse-project-rsync (&optional static) "publish tapoueh.org using rsync" (interactive "P") (let* ((rsync-command (format "rsync %s %s %s" dim:muse-rsync-options (concat dim:muse-rsync-source "/") (concat dim:muse-rsync-target "/")))) (with-current-buffer (get-buffer-create "*muse-rsync*") (erase-buffer) (insert (concat rsync-command "\n")) (message "%s" rsync-command) (insert (shell-command-to-string rsync-command)) (insert "\n") (when static (dolist (subdir dim:muse-rsync-extra-subdirs) (let ((cmd (format "rsync %s %s %s" dim:muse-rsync-options (concat dim:muse-rsync-source "/" subdir) dim:muse-rsync-target))) (insert (concat cmd "\n")) (message "%s" cmd) (insert (shell-command-to-string cmd)) (insert "\n"))))))) (define-key muse-mode-map (kbd "C-c R") 'dim:muse-project-rsync) So now to publish this blog, it's just a C-c R away! :) ## Emacs Muse powered blog DevFeed: [Emacs Muse powered blog]() Original publisher: [Read original article]() Author: Dimitri Fontaine PostgreSQL Major Contributor; Author Published: 2008-12-04T23:00:00Z Content type: article Language: en Sources: [Dimitri Fontaine]() Topics: [Emacs](), [Software]() Tags: [blog](), [blogging](), [emacs](), [muse](), [software]() ### AI overview A brief note about a blog powered by Emacs Muse and blogging software for geeks. ### Source excerpt So finaly a blogging software for geeks exists? The problem with communication is that you think it happened.