Download Academic Workflow Suite
Free and open source. Available for macOS, Windows, and Linux.
Latest Version: v1.0.0
Released: November 22, 2025
Choose Your Platform
macOS
macOS 11 (Big Sur) or later
~85 MB • DMG installer
SHA-256 Checksums
Apple Silicon: a3f2b1c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2
Intel: b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5Windows
Windows 10 or later (64-bit)
~92 MB • Requires admin rights
SHA-256 Checksums
MSI: c6d7e8f9a0b1c2d3e4f5a6b7c8d9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7
Portable: d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9Linux
Most distributions (64-bit)
~78 MB • Multiple formats
Installation Commands
# Debian/Ubuntu
sudo dpkg -i AWS-Linux-1.0.0.deb
# Fedora/RHEL
sudo rpm -i AWS-Linux-1.0.0.rpm
# AppImage
chmod +x AWS-Linux-1.0.0.AppImage
./AWS-Linux-1.0.0.AppImagePackage Managers
Install using your favorite package manager:
Homebrew (macOS/Linux)
brew install academic-workflow-suiteChocolatey (Windows)
choco install academic-workflow-suiteWinget (Windows)
winget install AcademicWorkflowSuiteSnap (Linux)
sudo snap install academic-workflow-suiteFlatpak (Linux)
flatpak install flathub org.academic.WorkflowSuiteDocker
docker pull academicworkflow/suite:latestRelease Notes - v1.0.0
Released November 22, 2025
🎉 Initial Public Release
We're excited to announce the first stable release of Academic Workflow Suite! This release represents over two years of development and testing with hundreds of educators worldwide.
✨ Key Features
- AI-assisted feedback generation with customizable tone and style
- Privacy-first architecture with local processing and encryption
- LMS integration for Moodle, Canvas, Blackboard, and Open University
- Batch processing for marking multiple assignments simultaneously
- Custom rubric creation and management
- Complete audit trail and version history
- Multi-format support (PDF, DOCX, TXT, Markdown, code files)
- Offline capability - all core features work without internet
- Command-line interface and GUI
- Cross-platform support (macOS, Windows, Linux)
🔧 Technical Details
- Built with Python 3.11+ and modern web technologies
- AES-256 encryption for data at rest
- Local AI models with optional cloud fallback
- RESTful API for integrations
- Comprehensive documentation and examples
📝 Known Issues
- Large PDF files (>100MB) may take extended time to process
- Some LMS integrations require manual API token configuration
- macOS Gatekeeper may show security warning on first launch (see installation guide)
Previous Versions
Looking for older releases? All versions are available on GitHub.
Detailed System Requirements
Minimum Requirements
| Component | Requirement |
|---|---|
| Operating System | macOS 11+, Windows 10 (64-bit), Linux (kernel 4.15+) |
| Processor | Dual-core x86_64 or ARM64 @ 2.0 GHz |
| RAM | 4 GB |
| Storage | 500 MB available (2 GB for advanced AI models) |
| Display | 1280x720 minimum resolution |
| Internet | Optional (required for LMS sync and updates) |
Recommended for Best Performance
| Component | Recommendation |
|---|---|
| Processor | Quad-core or better @ 2.5+ GHz |
| RAM | 8 GB or more |
| Storage | SSD with 5 GB available space |
| GPU | Optional: CUDA-capable GPU for faster AI processing |
Verifying Your Download
For security, we recommend verifying the integrity of downloaded files:
Using SHA-256 Checksums
macOS/Linux
# Calculate checksum
sha256sum AWS-*.dmg
# Compare with published checksum aboveWindows (PowerShell)
# Calculate checksum
Get-FileHash AWS-*.msi -Algorithm SHA256
# Compare with published checksum aboveGPG Signature Verification
All releases are signed with our GPG key:
# Import our public key
gpg --keyserver keys.openpgp.org --recv-keys 0x1234567890ABCDEF
# Verify signature
gpg --verify AWS-*.sig AWS-*.dmg