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.

Thinking Claude is an approach to interact with Claude that highlights the depth of his reasoning process. It focuses on experiencing Claude's fascinating inner thought process during daily tasks and conversations. Unlike other methods that emphasize benchmarks or mathematical breakthroughs, this approach encourages detailed thought processes and exploration, making AI interaction more insightful and engaging. The goal is to enhance the quality of daily interactions by revealing how Claude thinks through problems step by step.