ModelSweeper is a desktop command center for AI model workflows. It helps you choose the right models, validate memory fit before runtime, and keep role-based presets synchronized across tools.
- Reduce trial-and-error before inference starts
- Switch role presets quickly (
Thinker,Coder,Reviewer) - Estimate RAM/VRAM fit with practical hardware inputs
- Keep local and cloud-oriented workflows in one clean UI
- Website: blackwolf9-coder.github.io/modelsweeper
- Releases: github.com/Blackwolf9-coder/modelsweeper/releases
- Launch Plan: LAUNCH_PLAN.md
- Campaign Kit (EN): CAMPAIGN_KIT.md
- Campaign Kit (AR): CAMPAIGN_KIT_AR.md
- Product Hunt Pack: PRODUCT_HUNT_READY.md
- v0.2.0 Roadmap: ROADMAP_v0.2.0.md
- Role-based presets with instant activation
- Model catalog with one-click role assignment
- Live system RAM tracking vs selected preset load
- Hardware Calculator with slider-based controls:
- Model size (B params)
- Context length (tokens)
- System RAM (GB)
- VRAM per GPU (GB)
- Integration settings export for external clients
Dashboard: machine RAM state and preset load warningsModels: manage installed models and assign operational rolesPreset Builder: compose simultaneous/sequential execution profilesHardware Calculator: estimate RAM, VRAM, and deployment fitIntegrations: map active preset settings to tool integrations
- Electron
- React + TypeScript
- Zustand
- Vite
- Tailwind CSS
- Node.js 18+
- npm 9+
npm installnpm run devnpm run typecheck
npm run lintnpm run buildnpm run distSee CONTRIBUTING.md.
See SECURITY.md.
MIT

