MemoryBank: Enhancing Large Language Models with Long-Term Memory Article Swipe
Wanjun Zhong
,
Lianghong Guo
,
Qiqi Gao
,
He Ye
,
Yanlin Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i17.29946
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1609/aaai.v38i17.29946
Large Language Models (LLMs) have drastically reshaped our interactions with artificial intelligence (AI) systems, showcasing impressive performance across an extensive array of tasks. Despite this, a notable hindrance remains—the deficiency of a long-term memory mechanism within these models. This shortfall becomes increasingly evident in situations demanding sustained interaction, such as personal companion systems, psychological counseling, and secretarial assistance. Recognizing the necessity for long-term memory, we propose MemoryBank, a novel memory mechanism tailored for LLMs. MemoryBank enables the models to summon relevant memories, continually evolve through continuous memory updates, comprehend, and adapt to a user's personality over time by synthesizing information from previous interactions. To mimic anthropomorphic behaviors and selectively preserve memory, MemoryBank incorporates a memory updating mechanism, inspired by the Ebbinghaus Forgetting Curve theory. This mechanism permits the AI to forget and reinforce memory based on time elapsed and the relative significance of the memory, thereby offering a more human-like memory mechanism and enriched user experience. MemoryBank is versatile in accommodating both closed-source models like ChatGPT and open-source models such as ChatGLM. To validate MemoryBank's effectiveness, we exemplify its application through the creation of an LLM-based chatbot named SiliconFriend in a long-term AI Companion scenario. Further tuned with psychological dialog data, SiliconFriend displays heightened empathy and discernment in its interactions. Experiment involves both qualitative analysis with real-world user dialogs and quantitative analysis with simulated dialogs. In the latter, ChatGPT acts as multiple users with diverse characteristics and generates long-term dialog contexts covering a wide array of topics. The results of our analysis reveal that SiliconFriend, equipped with MemoryBank, exhibits a strong capability for long-term companionship as it can provide emphatic response, recall relevant memories and understand user personality.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1609/aaai.v38i17.29946
- https://ojs.aaai.org/index.php/AAAI/article/download/29946/31654
- OA Status
- diamond
- Cited By
- 85
- References
- 16
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4393147158Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1609/aaai.v38i17.29946Digital Object Identifier
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MemoryBank: Enhancing Large Language Models with Long-Term MemoryWork title
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articleOpenAlex work type
- Language
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enPrimary language
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2024Year of publication
- Publication date
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2024-03-24Full publication date if available
- Authors
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Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin WangList of authors in order
- Landing page
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https://doi.org/10.1609/aaai.v38i17.29946Publisher landing page
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https://ojs.aaai.org/index.php/AAAI/article/download/29946/31654Direct link to full text PDF
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diamondOpen access status per OpenAlex
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https://ojs.aaai.org/index.php/AAAI/article/download/29946/31654Direct OA link when available
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Term (time), Computer science, Long-term memory, Psychology, Neuroscience, Cognition, Physics, AstronomyTop concepts (fields/topics) attached by OpenAlex
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85Total citation count in OpenAlex
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2025: 64, 2024: 21Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Despite | 23 |
| abstract_inverted_index.Further | 195 |
| abstract_inverted_index.becomes | 40 |
| abstract_inverted_index.chatbot | 186 |
| abstract_inverted_index.dialogs | 218 |
| abstract_inverted_index.diverse | 234 |
| abstract_inverted_index.elapsed | 137 |
| abstract_inverted_index.empathy | 204 |
| abstract_inverted_index.enables | 75 |
| abstract_inverted_index.evident | 42 |
| abstract_inverted_index.latter, | 227 |
| abstract_inverted_index.memory, | 63, 110, 144 |
| abstract_inverted_index.models. | 37 |
| abstract_inverted_index.notable | 26 |
| abstract_inverted_index.permits | 126 |
| abstract_inverted_index.propose | 65 |
| abstract_inverted_index.provide | 268 |
| abstract_inverted_index.results | 248 |
| abstract_inverted_index.theory. | 123 |
| abstract_inverted_index.thereby | 145 |
| abstract_inverted_index.through | 84, 180 |
| abstract_inverted_index.topics. | 246 |
| abstract_inverted_index.ChatGLM. | 171 |
| abstract_inverted_index.Language | 1 |
| abstract_inverted_index.analysis | 214, 221, 251 |
| abstract_inverted_index.contexts | 240 |
| abstract_inverted_index.covering | 241 |
| abstract_inverted_index.creation | 182 |
| abstract_inverted_index.dialogs. | 224 |
| abstract_inverted_index.displays | 202 |
| abstract_inverted_index.emphatic | 269 |
| abstract_inverted_index.enriched | 153 |
| abstract_inverted_index.equipped | 255 |
| abstract_inverted_index.exhibits | 258 |
| abstract_inverted_index.inspired | 117 |
| abstract_inverted_index.involves | 211 |
| abstract_inverted_index.memories | 273 |
| abstract_inverted_index.multiple | 231 |
| abstract_inverted_index.offering | 146 |
| abstract_inverted_index.personal | 50 |
| abstract_inverted_index.preserve | 109 |
| abstract_inverted_index.previous | 101 |
| abstract_inverted_index.relative | 140 |
| abstract_inverted_index.relevant | 80, 272 |
| abstract_inverted_index.reshaped | 6 |
| abstract_inverted_index.systems, | 13, 52 |
| abstract_inverted_index.tailored | 71 |
| abstract_inverted_index.updates, | 87 |
| abstract_inverted_index.updating | 115 |
| abstract_inverted_index.validate | 173 |
| abstract_inverted_index.Companion | 193 |
| abstract_inverted_index.LLM-based | 185 |
| abstract_inverted_index.behaviors | 106 |
| abstract_inverted_index.companion | 51 |
| abstract_inverted_index.demanding | 45 |
| abstract_inverted_index.exemplify | 177 |
| abstract_inverted_index.extensive | 19 |
| abstract_inverted_index.generates | 237 |
| abstract_inverted_index.hindrance | 27 |
| abstract_inverted_index.long-term | 32, 62, 191, 238, 263 |
| abstract_inverted_index.mechanism | 34, 70, 125, 151 |
| abstract_inverted_index.memories, | 81 |
| abstract_inverted_index.necessity | 60 |
| abstract_inverted_index.reinforce | 132 |
| abstract_inverted_index.response, | 270 |
| abstract_inverted_index.scenario. | 194 |
| abstract_inverted_index.shortfall | 39 |
| abstract_inverted_index.simulated | 223 |
| abstract_inverted_index.sustained | 46 |
| abstract_inverted_index.versatile | 158 |
| abstract_inverted_index.Ebbinghaus | 120 |
| abstract_inverted_index.Experiment | 210 |
| abstract_inverted_index.Forgetting | 121 |
| abstract_inverted_index.MemoryBank | 74, 111, 156 |
| abstract_inverted_index.artificial | 10 |
| abstract_inverted_index.capability | 261 |
| abstract_inverted_index.continuous | 85 |
| abstract_inverted_index.deficiency | 29 |
| abstract_inverted_index.heightened | 203 |
| abstract_inverted_index.human-like | 149 |
| abstract_inverted_index.impressive | 15 |
| abstract_inverted_index.mechanism, | 116 |
| abstract_inverted_index.real-world | 216 |
| abstract_inverted_index.showcasing | 14 |
| abstract_inverted_index.situations | 44 |
| abstract_inverted_index.understand | 275 |
| abstract_inverted_index.MemoryBank, | 66, 257 |
| abstract_inverted_index.Recognizing | 58 |
| abstract_inverted_index.application | 179 |
| abstract_inverted_index.assistance. | 57 |
| abstract_inverted_index.comprehend, | 88 |
| abstract_inverted_index.continually | 82 |
| abstract_inverted_index.counseling, | 54 |
| abstract_inverted_index.discernment | 206 |
| abstract_inverted_index.drastically | 5 |
| abstract_inverted_index.experience. | 155 |
| abstract_inverted_index.information | 99 |
| abstract_inverted_index.open-source | 167 |
| abstract_inverted_index.performance | 16 |
| abstract_inverted_index.personality | 94 |
| abstract_inverted_index.qualitative | 213 |
| abstract_inverted_index.secretarial | 56 |
| abstract_inverted_index.selectively | 108 |
| abstract_inverted_index.MemoryBank's | 174 |
| abstract_inverted_index.incorporates | 112 |
| abstract_inverted_index.increasingly | 41 |
| abstract_inverted_index.intelligence | 11 |
| abstract_inverted_index.interaction, | 47 |
| abstract_inverted_index.interactions | 8 |
| abstract_inverted_index.personality. | 277 |
| abstract_inverted_index.quantitative | 220 |
| abstract_inverted_index.significance | 141 |
| abstract_inverted_index.synthesizing | 98 |
| abstract_inverted_index.SiliconFriend | 188, 201 |
| abstract_inverted_index.accommodating | 160 |
| abstract_inverted_index.closed-source | 162 |
| abstract_inverted_index.companionship | 264 |
| abstract_inverted_index.interactions. | 102, 209 |
| abstract_inverted_index.psychological | 53, 198 |
| abstract_inverted_index.remains—the | 28 |
| abstract_inverted_index.SiliconFriend, | 254 |
| abstract_inverted_index.effectiveness, | 175 |
| abstract_inverted_index.anthropomorphic | 105 |
| abstract_inverted_index.characteristics | 235 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.99630996 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |