KI-Speicher

Der Speicher von KI-Systemen ermöglicht es Modellen und Agenten, vergangene Interaktionen abzurufen, sich im Laufe der Zeit anzupassen und effektiver zu argumentieren. Wir untersuchten die Fähigkeit der gängigsten LLMs, Informationen sowohl im Langzeit- als auch im Kurzzeitspeicher zu speichern, sowie ihre Kontextfensterfähigkeiten.

Beste LLMs für erweiterte Kontextfenster

KI-SpeicherMai 26

We ran a proprietary 32-message conversation test on 22 leading AI models to see how much of their advertised context windows actually work. The conversation includes synthesis tasks that require recalling information from earlier messages, not just parroting the last thing said.

KI-SpeicherMai 26

KI-Speicher: Beliebteste KI-Modelle mit dem besten Speicher

Smarter models often have worse memory. We tested 26 large language models in a 32-message business conversation to determine which actually retain information. AI memory benchmark results We tested 26 popular large language models through a simulated 32-message business conversation with 43 questions.

KI-SpeicherMär 6

AI Apps mit MCP Memory Benchmark & Tutorial

We tested four Model Context Protocol (MCP) memory servers to measure which ones actually retain and retrieve context across AI agent sessions. Using LangChain’s ReAct Agent, we connected each server, ran standardized multi-session conversations, and scored them on memory operation accuracy.