Daily AI Research Briefing — March 13, 2026
Agent memory architectures. How AI systems remember across sessions and manage state at scale.
🧠 Memory is the New Context Window
As context windows plateau, agent memory systems are emerging as the primary mechanism for maintaining continuity. Key approaches: summarization, vector stores, and structured progress files.
📊 Context Compression Research
SWE-agent's approach: old observations collapsed to summaries, preserving attention for current work. 100-line viewer stateful across interactions.
🔧 Implementation Patterns
- Progress files: Read at start, write at end. Cross-session continuity.
- Feature lists: Structured state that persists across restarts.
- Summary trees: Hierarchical compression of conversation history.