Why a bigger context window won't fix your agent's memory

AI agents lack shared memory, forcing each team member to retrain them from scratch

The article discusses a critical flaw in current AI agent systems used by teams: when one user corrects or trains an AI agent (through bette

Workers AI - Workers AI larger context windows

Agent Memory Is Distributed State Management, Not Magic

The article argues that "agent memory" in AI systems is fundamentally just distributed state management rebranded. It draws parallels betwee

AgentMemory: Open-source persistent memory tool for AI coding agents

AgentMemory is an open-source tool that gives AI coding agents (like Claude Code, Codex, Cursor, etc.) persistent memory across sessions, so

Systematic Study of Agent Memory Systems for LLMs Reveals No One-Size-Fits-All Architecture

This paper presents a systematic experimental study of agent memory systems for LLM agents from a data management perspective. It proposes a

AI memory systems can degrade model performance and increase sycophancy, new research finds

New research from AI company Writer reveals that memory systems designed to help AI models adapt to users can actually degrade model perform