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memory strategies

2 articles · Page 1 of 1
Meituan Technology Team
Meituan Technology Team
Jun 25, 2026 · Artificial Intelligence

Meituan LongCat’s VitaBench 2.0: A New Benchmark for Long‑Term Dynamic Agents

VitaBench 2.0, an open‑source benchmark from Meituan LongCat, evaluates large language models on long‑term, dynamic user interactions using 56 realistic users, 819 tasks, over 2 000 evolving preferences across up to 1 580 days, and reveals that even top models struggle with memory, personalization and proactive behavior.

LLM evaluationMeituan LongCatVitaBench 2.0
0 likes · 17 min read
Meituan LongCat’s VitaBench 2.0: A New Benchmark for Long‑Term Dynamic Agents
AI Large Model Application Practice
AI Large Model Application Practice
Jul 29, 2025 · Artificial Intelligence

8 Memory Strategies for AI Agents: From Full Recall to Vector Stores

The article examines eight common AI memory techniques—from simple full‑history retention to sophisticated vector‑store and knowledge‑graph approaches—detailing their principles, Python‑style implementations, advantages, drawbacks, and ideal application scenarios for large‑language‑model agents in production environments.

AI memoryKnowledge GraphLLM Context Management
0 likes · 23 min read
8 Memory Strategies for AI Agents: From Full Recall to Vector Stores