Arandu is a Windows desktop application for managing llama.cpp models and servers without manually handling DLL files or command-line arguments.
Version: 0.5.5-beta
Platform: Windows only
- Model Management - Organize and launch .gguf models with custom arguments
- HuggingFace Integration - Search and download models directly from HuggingFace
- AI Model Tracker - Browse trending AI models from HuggingFace with filtering and stats
- Llama.cpp Backend Management - Auto-download llama-server backends from GitHub releases
- Flexible Launch Options - Internal (integrated UI) or External (native llama.cpp UI) modes
- Argument Presets - Save and reuse common launch configurations per model
- Hardware Monitoring - Real-time RAM and VRAM usage indicators
- Desktop Organization - Sort models by name, size, architecture, or quantization
- Color Themes - Multiple UI themes with customizable backgrounds
- Windows 10/11
- Rust installed
- Visual Studio Build Tools (for Windows)
cd backend
cargo tauri devcd backend
cargo tauri build
# Output: backend/target/release/Arandu.exeSee AGENTS.md for detailed developer documentation including architecture, API reference, and common issues.
Critical Documentation (read in order):
- WORKING_DIRECTORY_WARNING.md - CRITICAL working directory info
- AGENTS.md - Architecture, patterns, and how-to guides
- THIS-PROJECTS-CURRENT-STATE.md - Current status, recent bugs, build info
Knowledge Base Memory System:
This project uses the nowledge-mem memory system to store:
- File locations (search: "Arandu Complete File Location Reference")
- Common development patterns (search: "Arandu Common Development Patterns")
- Critical gotchas and issues (search: "Arandu Critical Gotchas")
- Feature implementations (search: "Arandu [feature-name]")
Agent Onboarding:
- Check memory FIRST before using shell commands to find files
- Search for "MANDATORY: Arandu Agent Onboarding Workflow" for complete workflow
- Always verify working directory is
H:\Ardanu Fix\Arandu-maxi\(NOT C drive) - Build and test before claiming work is complete
Pre-built releases: https://github.com/fredconex/Arandu/releases
- Code cleanup and organization
- New features (coming soon)
