agent memory persistence

Markdown file folder is working implementation of multi-session memory that compounds value without intervention

Memory is listed as a prerequisite, indicating courses recognize agent persistence as foundational to multi-agent coordination. You can't coordinate agents that lose context between turns.

Contract-based state is a formalization of how agent memory should persist—explicit, validated, versioned.

The failure pattern 'lack of contextual learning' directly implies agents need memory persistence mechanisms to compound intelligence across deployments. Without this, each agent deployment starts fre

R2 storage layer provides concrete implementation of durable agent memory across recursive calls

The agent must maintain goal coherence and decision history across time without human reset/clarification. Reveals questions about how agents preserve and evolve context during extended autonomous ope

Multi-agent systems require agents to maintain memory across multiple interactions; survey likely documents success/failure patterns in state management.

Slack bot example implies conversation history preservation; without it, multi-turn analysis in Slack wouldn't work