#Memory Management
5 articles with this tag
AI Agents Need Memory Harnesses for Long Tasks
Stefania Druga of Sakana AI discusses memory harnesses for AI agents, addressing context bloat and the benefits of local models for long-running tasks.
AI Assistants Need Graph Memory, Not Just More Tokens
Stephen Chin of Neo4j discusses how graph databases offer superior memory solutions for AI assistants compared to traditional file storage or vector databases.
Adaptive Memory for Smarter LLM Agents
MemCon revolutionizes LLM agents memory systems by treating memory access as a learned, adaptive policy, significantly boosting performance and reducing costs.
Active Memory: Defeating Behavioral State Decay
New research introduces an active memory agent that combats 'behavioral state decay AI' in long-horizon tasks, boosting performance by up to +8.3 pp.
Cursor Cracks Down on App Stability
Cursor has dramatically improved app stability, slashing OOM errors by 80% through advanced diagnostics and focused engineering efforts.
