memory and state persistence

Day 3 'Context Engineering: Sessions & Memory' directly addresses how agents maintain state across interactions, validating persistence as foundational requirement.

Article explicitly identifies 'context enables multi-turn reliability' and 'maintain state' as key differentiators from prompting alone.

Article explicitly identifies 'Memory & State Layer' as core component integrating vector databases, knowledge graphs, and conversation memory to retain context across sessions

Step 4 dedicated to Memory & Persistence, directly addressing context compounding across sessions—a thesis-critical concern

Post identifies 'memory' as a core design component that vendor guidance treats as essential, supporting the thesis that intelligence compounds across sessions when memory is managed

Article emphasizes task completion and agent coordination but says nothing about preserving context/learning across multiple interactions—appears to treat each multi-agent run as stateless

By standardizing tool connections in persistent JSON config, MCP enables context (tool availability) to compound across sessions rather than resetting.