Memoria de IA

La memoria de IA permite a los modelos y agentes recordar interacciones pasadas, adaptarse con el tiempo y razonar con mayor eficacia. Analizamos la capacidad de los modelos de aprendizaje automático más populares para almacenar información tanto en la memoria a largo como a corto plazo, así como sus capacidades de ventana de contexto.

Mejores LLMs para ventanas de contexto extendidas

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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.

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Memoria de IA: Los modelos de IA más populares con la mejor memoria

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.

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Aplicaciones de IA con MCP Benchmark de Memoria y 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.