Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for AI agent developers, AI coding agent users, macOS power users, terminal power users, Ghostty users, AI-curious readers tracking the AI-coding-agent space, engineering teams wiring coding agents to their development environments, and any developer wiring a vertical-tab + notification + Ghostty-based terminal to their AI coding workflow -- and who can pair manaflow-ai/cmux with the macOS
Who should use it
Who should skip it
Consider manaflow-ai/cmux lower priority if you already have a working solution in this category.
About this signal
manaflow-ai/cmux is tracked by RepoRadar as a gpl-3.0-with-commercial-carve-ou in the cmux: Ghostty-Based macOS Terminal for AI Coding section. It was first seen on 2026-07-07 and last updated on 2026-07-07. The current verdict is 'try now' with a Silver tier and easy setup difficulty. Across RepoRadar's eight signals, manaflow-ai/cmux is strongest on momentum (9.0) and workflow potential (8.9) and weakest on maturity (5.7) — a profile worth weighing against your own priorities. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned manaflow-ai/cmux a composite score of 7.8 out of 10, placing it in the Silver tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
The 23852* / 1901-fork / 34-subscriber / 701480KB repo is at active maintenance (pushed 2026-07-07) but the project is macOS-only (the DMG is for macOS only; Linux/Windows support is not documented in the README) -- the consumer SHOULD check the releases page for Linux/Windows binaries before adopting cmux on a non-macOS platform; the GPL-3.0 with commercial carve-out means organizations that cannot comply with GPL need to contact [email protected] for a commercial license -- the consumer SHOULD evaluate the GPL compliance cost before adopting cmux in a commercial product; the consumer SHOULD pin the cmux version and review the changelog.
