How xMemory cuts token costs and context bloat in AI agents

When standard RAG pipelines retrieve redundant conversational data, long-term AI agents lose coherence and burn tokens.

Google PM open-sources Always On Memory Agent, ditching vector databases for LLM-driven persistent memory

Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve project context and operate across longer horizons.
InfoWorld

Mem0: An open-source memory layer for LLM applications and AI agents

Combining an innovative hybrid data store and intelligent retrieval, Mem0 provides a robust foundation for building personalized AI experiences that improve over time. The stateless nature of large ...
InfoWorld

Why LLM applications need better memory management

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...
i-SCOOP

AgentScope from Alibaba and why it matters for the future of AI agents

Discover what AgentScope from Alibaba is, how it supports multi agent systems, memory, tools, voice, MCP and production ...
Forbes

AI Agent Types – And Memory

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI In the big conversation that companies and people are having ...

NVIDIA Enters Production With Dynamo, the Broadly Adopted Inference Operating System for AI Factories

NVIDIA Dynamo 1.0 provides a production-grade, open source foundation for inference at scale.Dynamo and NVIDIA TensorRT-LLM ...