{"id":"https://openalex.org/W7161237514","doi":"https://doi.org/10.48550/arxiv.2605.13941","title":"EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents","display_name":"EvolveMem:Self-Evolving Memory Architecture via AutoResearch for LLM Agents","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161237514","doi":"https://doi.org/10.48550/arxiv.2605.13941"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.13941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13941","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.13941","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136256334","display_name":"Jiaqi Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101818638","display_name":"Xinyu Ye","orcid":"https://orcid.org/0000-0003-0077-7058"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Xinyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136199091","display_name":"Peng Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136242229","display_name":"Zeyu Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Zeyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136232155","display_name":"Cihang Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Cihang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136221895","display_name":"Mingyu Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Mingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136245087","display_name":"Huaxiu Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Huaxiu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.23739999532699585,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.23739999532699585,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.1753000020980835,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.06989999860525131,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6396999955177307},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5227000117301941},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4616999924182892},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.46059998869895935},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.45570001006126404},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45410001277923584},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4291999936103821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8059999942779541},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6396999955177307},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5227000117301941},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4616999924182892},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.46059998869895935},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.45570001006126404},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45410001277923584},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4291999936103821},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3465000092983246},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28940001130104065},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.26899999380111694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.13941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13941","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.13941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.13941","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.6437907814979553,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long-term":[0],"memory":[1,14,41,62],"is":[2,212],"essential":[3],"for":[4],"LLM":[5],"agents":[6],"that":[7,38,54,64,199],"operate":[8],"across":[9,190],"multiple":[10],"sessions,":[11],"yet":[12],"existing":[13],"systems":[15],"treat":[16],"retrieval":[17,52,68,143,205],"infrastructure":[18],"as":[19,70],"fixed:":[20],"stored":[21,48],"content":[22],"evolves":[23],"while":[24],"scoring":[25],"functions,":[26],"fusion":[27],"strategies,":[28],"and":[29,50,94,107,167],"answer-generation":[30],"policies":[31],"remain":[32],"frozen":[33],"at":[34,44,214],"deployment.":[35],"We":[36,57],"argue":[37],"truly":[39],"adaptive":[40],"requires":[42],"co-evolution":[43],"two":[45],"levels:":[46],"the":[47,51,85,117,137,153,161,174,181,200],"knowledge":[49],"mechanism":[53],"queries":[55],"it.":[56],"present":[58,151],"EvolveMem,":[59],"a":[60,71,99,134,169],"self-evolving":[61],"architecture":[63],"exposes":[65],"its":[66,125],"full":[67],"configuration":[69,97,130,148],"structured":[72],"action":[73,155],"space":[74],"optimized":[75],"by":[76,164,184],"an":[77,114],"LLM-powered":[78],"diagnosis":[79],"module.":[80],"In":[81],"each":[82],"evolution":[83],"round,":[84],"module":[86],"reads":[87],"per-question":[88],"failure":[89],"logs,":[90],"identifies":[91],"root":[92],"causes,":[93],"proposes":[95],"targeted":[96],"adjustments;":[98],"guarded":[100],"meta-analyzer":[101],"applies":[102],"them":[103],"with":[104,192],"automatic":[105],"revert-on-regression":[106],"explore-on-stagnation":[108],"safeguards.":[109],"This":[110],"closed-loop":[111],"self-evolution":[112,201],"realizes":[113],"AutoResearch":[115],"process:":[116],"system":[118],"autonomously":[119],"conducts":[120],"iterative":[121],"research":[122],"cycles":[123],"on":[124],"own":[126],"architecture,":[127],"replacing":[128],"manual":[129],"tuning.":[131],"Starting":[132],"from":[133],"minimal":[135,175],"baseline,":[136],"process":[138,202],"converges":[139],"autonomously,":[140],"discovering":[141],"effective":[142],"strategies":[144],"including":[145],"entirely":[146],"new":[147],"dimensions":[149],"not":[150],"in":[152],"original":[154],"space.":[156],"On":[157,177],"LoCoMo,":[158],"EvolveMem":[159,179],"outperforms":[160],"strongest":[162,182],"baseline":[163,183],"25.7%":[165],"relative":[166,171],"achieves":[168],"78.0%":[170],"improvement":[172],"over":[173],"baseline.":[176],"MemBench,":[178],"exceeds":[180],"18.9%":[185],"relative.":[186],"Evolved":[187],"configurations":[188],"transfer":[189],"benchmarks":[191],"positive":[193],"rather":[194,207],"than":[195,208],"catastrophic":[196],"transfer,":[197],"indicating":[198],"captures":[203],"universal":[204],"principles":[206],"benchmark-specific":[209],"heuristics.":[210],"Code":[211],"available":[213],"https://github.com/aiming-lab/SimpleMem.":[215]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}