inferoa

inferoa is an AI/ML framework designed to maximize token efficiency by enabling inference-native agent loops, allowing developers to build iterative, self-correcting models that reuse context intelligently. It targets engineers and researchers working on complex reasoning tasks, such as multi-step code generation or chain-of-thought systems, who need to reduce computational overhead. The project is interesting because it rethinks agent architecture at the token level, potentially slashing costs and latency while maintaining or improving output quality.