Helicon is an open-source desktop and web app that wraps Meta's Muse Code CLI in a Codex/Claude-style interface, grouping sessions by project with history, resume and diffs on Windows, macOS and WSL2.
GitHub · Coding & dev tools★ Pick
8 builds · page 1 of 1
Helicon is an open-source desktop and web app that wraps Meta's Muse Code CLI in a Codex/Claude-style interface, grouping sessions by project with history, resume and diffs on Windows, macOS and WSL2.
GitHub · Coding & dev tools★ Pick
Anyone using Muse an orchestrator for fleets of coding agents? I’ve found it surprisingly effective and it’s convenient to be able to do so on the go from my phone. Plus Muse can instantly serve your web app for quick testing. it’s actually been pretty fun.
Reddit post · Agents & automation
silv
@mattsilv
i used it to build a little web app to teach my 3 year old the alphabet, with visuals and touch drawing muse.ai/s/letter-cards…
X post · Games & 3D· ♥ 5
A Vercel-hosted MCP connector for Muse that pushes cards to a 600x600 display web app, built around a serverless socket-lifetime spike with session state kept in memory or Redis.
Skill · Connectors & MCP
Abid Ali Awan sets up Muse Glimmer 30B on an RTX 5090 with llama.cpp, dynamic quantization and DFlash speculative decoding, serves it locally and wires it into OpenCode to build a medical research web app.
Guide · Local & open models
kamz
@kev_wander
I created a little web app to store memories for my daughter, first moments, special moments, and made it as a garden where every memory is a flower
X post · Apps & websites· ♥ 2
Your product
Sponsored
Put your logo, a line of copy and an image right here, between the builds Muse developers come to read. Same size as a post.
Shown every 12 builds · on every catalog page
PIMX_ELTEX runs Muse Spark 1.3 in OpenCode on six prompts, from 3D games and an open-world mini GTA to car simulators and web apps, at about 3 minutes per project.

Video · Games & 3D· ♥ 4
I'm guessing that many people have been waiting for this comparison. For clarity, both models are running at full FP16 KV-cache. Due to VRAM limitations, Muse Glimmer is running full 262,144 context, whilst Qwen3.6 27B can only run at 147,500 context - full GPU offload in both cases. Both models have been coding on an enterprise-grade web application. Detailed report of each model (warning - includes AI generated content): Diagnostic quality - comparable. Both have shown genuinely good root-cause work when they apply themselves. Qwen found coding issue and worked to fix things cleanly. Muse Glimmer correctly traced bugs and even caught something that a Frontier model missed after more than 10 rounds of review. Neither one is weak at diagnosis. Implementation reliability - Qwen ahead. Qwen did introduce real regressions into the coding along the way (eg. severe zone-scope refactor regression, and case-sensitivity regression) but each one eventually got fixed properly once caught, usually within one or two corrective rounds. Muse Glimmer did land fixes that were clean and verified true to spec. However, when working in a complex environment exceeding 200k context, Muse Glimmer fa
Reddit post · Benchmarks & research