OpenNARS is built upon the principles of Non-Axiomatic Logic, enabling the system to perform deduction, induction, and abduction using truth-value pairs that reflect uncertainty. It maintains an experience-based memory of statements and dynamically recruits inference rules based on available resources, ensuring robust performance in real-time environments. The engine’s belief revision mechanism updates confidences as new information arrives, improving decision accuracy. Developers can integrate OpenNARS via provided SDKs in Java, C++, Python, JavaScript, Dart, or Go, and deploy it on desktops, servers, mobile devices, or embedded systems. Typical applications include cognitive robotics, autonomous agents, and complex problem-solving tasks where adaptive learning and efficient knowledge management are essential.

Imandra offers a cloud-native automated reasoning system designed to bring rigor and transparency to the analysis and design of complex algorithms. With Imandra, users can convert input into mathematical logic and automate reasoning processes, ensuring safety, fairness, and compliance of algorithms. Imandra is especially suitable for high-stakes industries such as finance, where the reliability of algorithms is critical.