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.

Autonolas Network provides a modular architecture of smart contract modules and SDK tools that enable the creation, governance, and deployment of autonomous agents on Ethereum. Each agent can be configured with registry entries, reputation scoring, on-chain governance voting, treasury management, and scheduled task execution. Off-chain bots interact with on-chain components through oracles and relayers, performing automated DeFi operations such as liquidations, arbitrage, and yield-farming while distributing fees and rewards to stakeholders according to transparent rules.