Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception

Researchers have developed Springdrift, a persistent runtime system for long-lived AI agents that maintains memory across sessions and provides auditable decision-making capabilities. The system was successfully deployed for 23 days, during which the AI agent autonomously diagnosed infrastructure problems and maintained context across multiple communication channels without explicit instructions.