VaHive  Systems Lab

VaHive Systems Lab — governed cognitive architectures for long-lived AI systems.
Most AI products perform well in short sessions and quietly fall apart under real use. Context drift, hallucinations, silent revision loss, briefs that erode, agents that revert to superseded decisions. These are not model failures. They are memory architecture failures.
This channel covers the structural side of AI — how to build systems that remain coherent over time, how to govern reasoning and execution as separate concerns, and how to prevent failure modes that only show up after the demo.
Topics: context drift, epistemic state management, session governance for frontier LLM power users, Python implementations for API and local agents, and the DSMC / MAGUS architecture series.
If you use Claude, ChatGPT, Gemini, or Grok for serious multi-session work — or if you build autonomous agents — this is built for you.
Free resources and implementation guides at vahive.co.