Sync one reviewed context source into native AI-agent files, with privacy-safe evidence receipts that never confuse generation with runtime load.

We formalize the challenge of persona incongruity, revealing how existing methods fail to reconcile stable traits with atypical stances. We propose QUIRKYMIND, a framework coupling semantic stability with expressive control via an alternating discriminative-generative objective.

Context Fabric is an MCP server that automatically captures project state on every git commit, detects when stored context has drifted from codebase reality, and delivers structured, token-budgeted briefings to AI agents — without requiring any developer action.

External Semantic State Synchronization for reproducible long‑horizon LLM behavior.

Empirical validation of the Specificity Erosion signal from DriftAlert. Pre-registered (OSF pkr84). Companion to The Nature of Agentic Drift (Rayman, Prakash, Haraldsdottir, 2026).

PAIXBLOX continuity investigation samples for context drift, recovery guidance, and AI conversation reliability.