About

The Project

The Agentic Cognition Kernel (ACK) is a research project exploring cognitive governance architectures for AI agents. It proposes a formal framework for how autonomous systems can supervise their own learning, stability, and alignment during live operation.

This work addresses a gap in current agent architectures: while modern systems have memory, training, and planning capabilities, they lack a first-class mechanism for governing their own cognitive evolution.

ACK reframes alignment not as a one-time training property, but as a continuously maintained cognitive process—a dynamic property that must be actively preserved as agents adapt and learn.

Author

Citation

@article{baig2025ack,
  title={The Agentic Cognition Kernel: A Multi-Timescale 
         Governance Layer for Stable, Causal, 
         Self-Improving AI Agents},
  author={Baig, Fahad},
  journal={arXiv preprint},
  year={2025}
}

Resources