NexusAI is committed to transparent, community-driven development. We open-source our core infrastructure, models, and tools to accelerate global AI innovation.
Production-ready AI infrastructure, pre-trained models, and developer tools.
The foundational inference engine powering real-time AI workloads. Optimized for throughput and low-latency serving.
Open-weight multimodal foundation model. 70B parameters with advanced reasoning, vision, and code generation capabilities.
Command-line interface for managing AI deployments, monitoring inference metrics, and managing API keys securely.
Kubernetes-native AI autoscaler that predicts traffic spikes and scales GPU pods proactively using ML-driven forecasting.
We welcome contributors of all skill levels. Here's how you can help shape the future of open AI.
Fork the repository you'd like to contribute to. Clone it locally and install dependencies using our standardized toolchain.
Always work on a descriptive branch (e.g., feat/implement-kv-cache or fix/memory-leak). Follow our contribution templates.
Write clean, documented code. Run our CI pipeline locally (nexus test --all) to ensure compliance with performance and security standards.
Open a PR with a clear description, linked issues, and benchmark results if applicable. Maintainers will review within 48 hours.
Address feedback iteratively. Once approved, your contribution is merged and you'll be credited in our release notes.
Join our global network of researchers, engineers, and enthusiasts.
We believe in open, accountable, and ethical AI development.
All NexusAI repositories use OSI-approved licenses. Core infrastructure is Apache-2.0, foundation models use MIT, and commercial add-ons follow dual-licensing.
We enforce a strict Contributor Covenant 2.1. Zero tolerance for harassment. Maintainers and community leads are trained in conflict resolution and inclusive practices.
Project governance is decentralized. The Technical Steering Committee meets monthly to review roadmaps, approve new maintainers, and resolve architectural disputes.
Regular third-party audits, responsible disclosure program, and automated dependency scanning. All critical CVEs are patched within 72 hours.