#long-term-memory

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fromLogRocket Blog
4 days ago

Building AI apps that remember: Mem0 vs Supermemory - LogRocket Blog

Large Language Models (LLMs) enable fluent, natural conversations, but most applications built on top of them remain fundamentally stateless. Each interaction starts from scratch, with no durable understanding of the user beyond the current prompt. This becomes a problem quickly. A customer support bot that forgets past orders or a personal assistant that repeatedly asks for preferences delivers an experience that feels disconnected and inefficient.
Artificial intelligence
Artificial intelligence
fromLogRocket Blog
4 days ago

Building AI apps that remember: Mem0 vs Supermemory - LogRocket Blog

Long-term memory is essential for LLM applications to be stateful, preserving user context and preferences across sessions for efficient, connected experiences.
Artificial intelligence
fromZDNET
4 weeks ago

True agentic AI is years away - here's why and how we get there

Current enterprise AI agents are simplistic automations lacking reinforcement learning and complex memory, requiring at least five years for true autonomous agents to appear.
Artificial intelligence
fromTechzine Global
3 months ago

Major Microsoft Copilot Fall update: what's interesting?

Copilot Fall 2025 adds long-term memory, group collaboration, Connectors integration, social image features, conversation styles, and proactive actions to improve productivity and workflows.
fromTechCrunch
3 months ago

A 19-year-old nabs backing from Google execs for his AI memory startup, Supermemory | TechCrunch

Context windows of AI models, which indicate the ability of a model to "remember" information, have increased over time. However, researchers have suggested new ways to increase long-term memory of AI models, as they often can't hold context over several sessions. 19-year-old founder Dhravya Shah is attempting to solve problems in this area by building a memory solution, called Supermemory, for AI apps.
Artificial intelligence
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