LLM Agents
PlugMem: Modular Memory Architecture for Persistent LLM Agents
New research introduces PlugMem, a task-agnostic plugin memory module enabling LLM agents to maintain context across sessions without task-specific training.
Memory Architecture
LLM Agents
How Memory Architecture Shapes LLM Agent Performance
New research examines how different memory architectures affect LLM agent capabilities, offering insights into designing more effective AI systems.
AI Agents
Goal Drift: Why AI Agents Lose Focus in Video Research
AI agents analyzing video content face a critical challenge: goal drift. As they process complex visual data, they lose sight of original objectives, requiring new architectural solutions.
Agentic AI
Agentic AI Scaling Demands New Memory Architecture
As AI agents tackle complex multi-step tasks, traditional memory systems are hitting fundamental scaling limits. New architectural approaches are emerging to handle persistent context across extended workflows.
AI Agents
Episodic Memory Architecture Makes Character AI Smarter
New cognitively-inspired memory system improves AI character accuracy by 20% while reducing computational costs. Research introduces novel episodic memory architecture that mimics human recall patterns for more authentic virtual agents.