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muGen
github.comSummary
Ask questionsmuGen is a fair-code licensed microframework designed for prototyping and deploying multimodal/multichannel Generative AI applications. Written in Python, it offers a flexible and extensible codebase, allowing developers to integrate various AI technologies and vendors for rapid development and deployment.
Features10/13
See all10/13
Must Have
5 of 5
Conversational AI
API Access
Safety & Alignment Framework
Fine-Tuning & Custom Models
Enterprise Solutions
Other
5 of 8
Image Generation
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Free
$0.00 monthly
- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month (Free for public repositories)
- 500MB of Packages storage (Free for public repositories)
- Issues & Projects
- Community support
- $0 spend limit for GitHub Codespaces
Team
$4.00 per user
Popular- Everything included in Free
- Access to GitHub Codespaces
- Protected branches
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month (Free for public repositories)
- 2GB of Packages storage (Free for public repositories)
- Web-based support
Enterprise
$21.00 per user
- Everything included in Team
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate (ATO)
- SAML single sign-on
- Advanced auditing
- GitHub Connect
- 50,000 CI/CD minutes/month (Free for public repositories)
- 50GB of Packages storage (Free for public repositories)
Rationale
muGen is a microframework for building multimodal/multichannel Generative AI applications, directly aligning with the core concept. It explicitly mentions support for various AI models (LLMs), vector storage, and communication platforms, which implies API access. The framework's architecture supports extensions for different functionalities, including RAG (Retrieval Augmented Generation) and context extensions, which can be seen as a form of fine-tuning or custom model adaptation. While not explicitly stated as 'safety & alignment framework', the focus on enterprise solutions and the nature of a framework for building AI applications suggest that safety and governance would be a critical aspect for enterprise adoption. The mention of 'multimodal/multichannel' directly covers multimodal AI. GitHub itself, where muGen is hosted, offers features like Copilot (code generation, conversational AI), GitHub Models (fine-tuning/custom models), and Advanced Security (safety & red teaming), which are relevant to the broader AI platform ecosystem.
