Community
Rotalabs is building in public. Here's how to follow along and contribute.
Open Source
All core research tools are open source under AGPL-3.0 license.
Tools launching Q1 2026:
rotalabs-cascade- Trust-based decision routingrotalabs-probe- Detection tools for strategic underperformancerotalabs-steer- Runtime behavior controlrotalabs-ftms- Memory systems for AI agentsrotalabs-verify- Verified code synthesisrotalabs-redqueen- Adversarial testing
Contributing
We welcome contributions to:
- Documentation: Improve guides, fix typos, add examples
- Benchmarks: Submit evaluation scenarios, edge cases
- Integrations: Connect Rotalabs tools to your stack
- Research: Propose experiments, share findings
How to contribute:
- Check GitHub issues for
good-first-issuetags - Open a PR with your changes
- Join discussions in GitHub Discussions
Stay Updated
- GitHub: Star our repos to follow development
- Blog: Technical deep-dives on AI trust research
- Newsletter: Monthly updates
Research Collaboration
We're interested in collaborating with:
- Academic researchers in AI safety, interpretability, formal methods
- Industry teams deploying AI in regulated environments
- Standards bodies working on AI governance
Contact: [email protected]