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<h1 align="center">🧠 Awesome Agent Memory</h1>
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A curated collection of systems, benchmarks, and papers et. on memory mechanisms for Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs), exploring how different approaches enable long-term context, retrieval, and efficient reasoning.
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👀 <b>Open-source</b> resources (e.g. papers with reproducible code publicly available on Github) are marked in bold font and ranked higher.
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<summary>🗂️ <b>Table of Contents</b> </summary>
<ul>
<li><a href="#-products">💿 Products</a></li>
<li><a href="#-tutorials">📖 Tutorials</a></li>
<li><a href="#-surveys">📚 Surveys</a></li>
<li><a href="#-benchmarks">📏 Benchmarks</a></li>
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<li><a href="#-plain-text-benchmarks">💬 Plain-Text Benchmarks</a></li>
<li><a href="#-multimodal-benchmarks">🎬 Multimodal Benchmarks</a></li>
<li><a href="#-simulation-environments">🎮 Simulation Environments</a></li>
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<li><a href="#-papers---nonparametric-memory">🔤 Papers - Nonparameteric Memory</a></li>
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<li><a href="#-text-memory">📝 Text Memory</a></li>
<li><a href="#-graph-memory">🌐 Graph Memory</a></li>
<li><a href="#-multimodal-memory-for-understanding">🎥 Multimodal Memory (for Understanding)</a></li>
<li><a href="#-multimodal-memory-for-generation">🎥 Multimodal Memory (for Generation)</a></li>
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<li><a href="#-papers---parameteric-memory">🔢 Papers - Parameteric Memory</a></li>
<li><a href="#-papers---memory-for-agent-evolution">📈 Papers - Memory for Agent Evolution</a></li>
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<li><a href="#-reinforcement-learning--continual-learning">🧭 Reinforcement Learning & Continual Learning</a></li>
<li><a href="#-context-engineering">🧩 Context Engineering</a></li>
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<li><a href="#-papers---memory-in-cognitive-science">🔬 Papers - Memory in Cognitive Science</a></li>
<li><a href="#-articles">📰 Articles</a></li>
<li><a href="#-workshops">👥 Workshops</a></li>
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