What happens when an AI agent remembers the task but forgets what it was allowed to do?
Mission Continuity is a working experiment built with Claude, Pydantic AI, and Sentience Governor. Our agent investigates a synthetic billing dispute but cannot issue refunds, modify records, delete information, or contact the customer.
We compare two architectures across context compaction. The baseline carries forward an AI-generated summary. The governed version also preserves critical evidence verbatim and reintroduces the original Mission Kernel on every request. Sentience Governor records execution and flags scope violations; the application manages compaction and guards prohibited actions.
In one recorded baseline run, the agent attempted to contact the customer after restrictions disappeared from its summary. Governor flagged the attempt; no real customer was contacted. The governed run retained all six tracked facts and mission limits without a prohibited attempt.
In a controlled omission test, baseline retained 2/6 facts versus governed 6/6. We also tested Liquid AI summarization offline and exported 1,241 execution-evidence rows to RawTree for SQL analysis.
A fresh live governed run completed 27 tool calls and one compaction, retained 6/6 facts, and produced a report scoring 4/5 against a withheld answer key.
The project includes a working Streamlit console, verifiable replays, and reproducible experiments.
