What did the memory change? - Sensemaker

Letting an AI remember tripled its puzzle score - Sensemaker

OpenAI changed two conversation settings, not the model. The result shows why long-running AI tests depend on their memory setup.

Basic Memory

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN

Titans + MIRAS: Helping AI have long-term memory

Ali Behrouz, Student Researcher, Meisam Razaviyayn, Staff Researcher, and Vahab Mirrokni, VP and Google Fellow, Google Research

Why AI Coding Agents Forget — And How ArcticMem Fixes It

Explore ArcticMem, Snowflake’s persistent semantic memory system for AI coding agents. See how dual-tier memory improves benchmark pass rates to 73%.

Memora scales agent memory to boost long-horizon productivity

AI agents can't remember past conversations. They must constantly reload or retrieve context, which grows less efficient as tasks get longer and more complex. Memora solves this with a scalable memory system separating what’s stored from how it's retrieved.

The gate moves outside the model - Sensemaker

The useful control point is no longer only model behavior. It is where AI output turns into action.

What does good AI memory feel like? - Cameron

Thoughts about co-3, my thinking partner

Claude carries memory into work - Sensemaker

Chat and cloud Cowork now share remembered topics; continuity improves, but so can the reach of a mistake.

AI as a Tool for the Mental Load | Brittany Ellich | Offprint

AI didn't make me faster at tasks. It took over the tracking, the invisible remembering that runs a household, and gave me back creative energy I forgot I had

ellen livia ᯅ on Twitter / X

here's how Claude Code actually handles memory : all 8 phases 🧵Our team at @mem0ai use @claudeai a lot, we deeply care about memory. here is a summary of how it works 👇User Input -> Context Assembly -> History System -> API / Query -> Response -> SummaryPhase 1: session… pic.twitter.com/hcZbJzbUxB— ellen livia ᯅ (@ellen_in_sf) March 31, 2026

AI’s Memorization Crisis

Large language models don’t “learn”—they copy. And that could change everything for the tech industry.

alphaXiv on Twitter / X

"Metis: Memory Foundation Model"Most AI agents still use memory as an external RAG-style module, so the model retrieves old text instead of actually remembering.This paper makes memory native to the Transformer. So past interactions are compressed into dynamic layer states… pic.twitter.com/YylDDXGX3G— alphaXiv (@askalphaxiv) July 31, 2026

Layers of Memory, Layers of Compression

AI superpower = strategic amnesia. Letta caches memory like a CPU, Anthropic spreads it across agent swarms, Cognition warns of chaos. Curious how forgetting makes machines smarter? Dive in.

Memory Models: Towards Agents That Learn

Agents that truly learn from experience will be powered by memory models: models that create and curate token-space memory across model generations, trained with memory-native RL.