Nosia
github.comSummary
Ask questionsNosia is an open-source platform designed to enable users to run AI models on their own data, prioritizing privacy and ease of use. It provides a local AI environment with simple installation and API access for chat completions.
Features2/15
See allMust Have
1 of 5
Open Contributor Network
Bleeding-Edge Project Incubator
Community-Driven Funding Platform
Modular Project Portfolio
Rapid Prototype Development
Other
1 of 10
Cognitive Engine Scaffold (Cogent)
Universal Language Model (ULM)
Decentralized Personal AI Network (Entwood)
Orbital Waste Collection System (C.O.W.S)
Industrial Hemp Materials Lab (Hemp the World)
Vision and Mission Framework
Blueprint Repository
Pitch and Funding Calls
Communication and Outreach Channels
Strategic Roadmap Publishing
PricingTiered
See allFree
- 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
Team
- 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
- 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
Nosia is an open-source platform that allows users to run AI models on their own data, which aligns with the 'Open Contributor Network' feature. The core functionality of running AI models on user data also loosely relates to the 'Cognitive Engine Scaffold' as it provides an infrastructure for AI. However, it doesn't explicitly mention incubating 'bleeding-edge' projects, a community-driven funding platform, or a modular project portfolio in the same way Mad Bastard Labs does. The focus is more on providing a tool for AI model deployment rather than a broader R&D platform.
