Our Open Source Ecosystem
Neural Nexus believes in the power of open collaboration. We're building a vibrant ecosystem of tools, models, and datasets that empower developers to create the next generation of AI applications.
Our Open Source Values
The principles that guide our open source development
Community First
We build with and for the community, prioritizing features that benefit the most people.
Quality Code
We maintain high standards for code quality, documentation, and testing.
Knowledge Sharing
We believe in openly sharing knowledge and insights, not just code.
Innovation
We push boundaries and explore new approaches to solve challenging problems.
How to Contribute
We welcome contributions from developers of all skill levels. Here's how you can get involved:
Join the Discussion
Participate in GitHub Discussions, our Discord server, or community calls to share ideas.
Submit Pull Requests
Fix bugs, add features, or improve documentation. Every contribution matters!
Star and Share
Help our projects gain visibility by starring repositories and sharing with others.
Become a Maintainer
Dedicated contributors can take on larger roles in project maintenance and direction.
Getting Started
Fork a Repository
Fork any repository you're interested in from our GitHub organization.
Clone and Setup
Clone your fork and follow setup instructions in the README file.
Find an Issue
Look for issues labeled "good first issue" or "help wanted" to get started.
Make Your Changes
Create a branch, make your changes, and submit a pull request with clear descriptions.
Upcoming Releases
Check out what's coming next in our open source ecosystem
Collaborative Workspaces
Team-based development environments with real-time collaboration features for model development and deployment.
AI Agent Framework
Framework for building autonomous AI agents with reasoning capabilities that can perform complex tasks.
Core SDK Release
Launch of the official Neural Nexus SDK with comprehensive libraries for Python, JavaScript, Rust, and Go.
From Our Open Source Blog
Insights, tutorials, and updates from our engineering team
Building High-Performance Inference Engines in Rust
Learn how we optimized NeuralEngine for maximum throughput while maintaining low latency and memory usage.
Read moreHow We Built a Vector Database That Scales to Billions of Embeddings
A deep dive into the architecture of EmbeddingsDB and how we solved the challenges of vector search at scale.
Read moreOpen Source Community Highlights: Q1 2023
Celebrating our contributors, showcasing impressive projects built with our tools, and community stats.
Read moreJoin Our Open Source Community
Connect with like-minded developers, share ideas, and build the future of AI together