MemoProAgent：面向记忆驱动的主动式辅助

MemoProAgent:TowardMemory-DrivenProactiveAssistance

ShenglaiZeng₁¹,2,XiaoYang²,TiffanyMa²,XinyuanZhang²,NanshuWang²,DerenLei³,KaiSun²,XilunChen²,TammyStark²,XianhuiZhu²,YuetaiLi⁵,RulinShao³,5,TianxinWei4,6,RakeshWanga²,AnujKumar²,JiliangTang¹,Wen-tauYih³,XinLunaDong²

¹MichiganStateUniversity,²MetaRealityLabs,³MetaSuperintelligenceLabs,4Meta

RecommendationSystems,5UniversityofWashington,6UniversityofIllinoisUrbana-Champaign

Asassistantsmovefromreactiveansweringtowardproactiveintervention,memorychangesrole:itnolongeronlysuppliestheanswertoaquery,itdetermineswhetherandwhentospeakatall.Priorworkinthissettinghandsthesystemtherelevantfactincontext;westudytheregimethatmakestheproblemhard,wheretheevidencejustifyinganinterventionmustbeminedfromalong-horizonpersonalmemory.WeintroduceMemoProBench,abenchmarkformemory-drivenproactiveassistance(MPA),pairingegocentricvideowithyear-long,distractor-richusermemories(~618Ktokensonaverage),human-verifiedtriggerwindows,andaprotocolthatscorescontentandtimingjointly.Everybaselineweevaluateperformspoorly(atmost15%),includingfrontiermodelsgivensummarizedorretrieval-augmentedmemory.Acontrolledstudyexplainswhy:withoracleevidencedeliveredinsidethetriggerwindowGPT-5.3-Chatreaches96%;lettingitchoosethetimingdropsitto38%,andreplacingoracleevidencewithretrievaldropsitto15%.Contentandtimingareseparatelynecessary,andmissingeitheriscatastrophic.Guidedbythis,webuildMemoProAgentwithaplug-and-playharnessthatsurfacesmemoryfromagraph-organizedstoreandgatesitdowntowhatisworthinterruptingfor,plusalightweightRLstagethatcurbsearlyandrepeatedfiring.Withoutanytraining,MemoProAgentliftsstrictaccuracyfrombelow10%to37.5%onQwen3.8-27Band38%onGPT-5.3-Chat;RLpost-trainingreaches42.4%.

Date:October22,2026

Correspondence:ShenglaiZengatzengshe1@

Code:

https:///facebookresearch/Memo-Pro-Agent

Data:

https://huggingface.co/datasets/facebook/MemProBenchMeta

arXiv:261022671v2[cs.CL]21Oct2026

1Introduction

Asmultimodalassistantsmature,ashiftisunderwayfromareactiveparadigm,inwhichtheassistantwaitsforanexplicitquery,toaproactiveone,inwhichittakestheinitiativeandengagestheuserunprompted(Wangetal.,2025a;ThinkingMachinesLab,2026).ConsiderauserwearingAIglasses:theassistantobservestheirsurroundingsinrealtimeanddecidesforitselfwhentospeak—perhapstoflagasafetyhazard,ortoremindtheusertorestockanitem.Noqueryiseverissued.Beyondproducinganappropriateanswer,theassistantmustproduceitattheright,self-determinedmoment.

Centraltothisshiftisthechangingroleofmemory(Figure1).Inthereactiveparadigm,memorysupplieswhattosay:itaugmentstheuser'squerywithrelatedcontexttogroundandpersonalizetheanswer(Lewisetal.,2020;Packeretal.,2023).Theuserasks“doIstillhavesparklingwaterathome?”andtheassistantretrievestherelevantmemorytoanswer.Intheproactiveparadigm,memoryalsodetermineswhentospeak:.Passingsparklingwaterinastore,theassistantrecallsthattheuserfinishedthelastbottleyesterday,andthatrecollectionisitselfwhatmakesareminderwarranted.Memoryisnolongeronlyasourceofcontent;itisalsothetriggerthatgovernswhethertointerveneatall.Wecallthissettingmemory-drivenproactiveassistance(MPA):givenacontinuousstreamoftheuser'scurrentsituation(egocentricvideoinourbenchmark)andalong-termmemoryoftheirpast,andgivennoquery,thesystemmustdecideateachmomentwhentospeakandwhattosay.

2

Perfect(%)

(c)RightMemory×RightTime

100

38.0%

15.3%

RetrievedRetrievedOracleOrocle

ChosenOracleChosenOrocle

GPT-5.3-Chat-150clips-Chosen=model-chosen

96.0%

8.0%

MemoryTiming

(d)MemoProAgentNarrowsthePerformanceGap

WindowedStreaming

StandardRAG

MemoProAgent

MemoProAgent

Triggerexplicituserquery

因RECALLEDMEMORY

"No,youoreoutofsparkingwater."

Readieagent

(b)Memory-DrivenProactiveAssistance

圆RECALLEDMEMORY

T'mrunningoutofsparklingwater:"

Prooctiveogent

(a)ReactiveMemoryAugmentation

"Youshouldrestock

sparklingwater."

T'mrunningoutofsparklingwater."

"DoIstillhave

sparklingwater

athome?"

NOUSERQUERY

Figure1Reactivevs.memory-drivenproactiveassistance,andwhatsuccessrequires.(a)Inthereactiveparadigm,memorysupplieswhattoanswertoanexplicitquery.(b)Intheproactiveparadigmnoqueryisgiven:memoryiswhatmakesareminderwarranted,andtheassistantmustalsodecideuhentospeak.(c)Successdemandstherightmemoryattherighttime—withoraclememorydeliveredin-windowafrontiermodelreaches96%,butdroppingeitherthetiming(→38)orthememory(→15)collapsesit(GPT-5.3-Chat).(d)MemoProAgentnarrowsthisgap,liftingPERFECTfrom7.0to37.5(42.4withRL)onQwen3.8-27B.

Recentworkstudiesproactiveassistanceconditionedonusercontext,butinaregimethatsidestepsthecentraldifficulty:thefactjustifyinganinterventionishandedtothemodeldirectly,asashortprofile(Ranetal.,2026)orastatedgoal(Zhangetal.,2025).Adeployedassistantfacessomethingdifferent.Thatfactisonefragmentamongayearofaccumulatedexperience,andlocatingitispartofthetask.Thetworegimesdifferbyordersofmagnitudeinhowmuchmemorymustbesearched,andperformancedoesnotsurvivethetransition.Moreover,successisjudgedasymmetrically.Aproactiveinterventionisaninterruption:areminderthatarrivesatthewrongmoment,orthattheuserneverneeded,spendsattentiontheuserneveroffered(Dengetal.,2023).Silenceisthereforecorrectalmostallofthetime,andaresponsecountsonlywhenitscontentisgroundedanditstimingisright.Arestockreminderisunwantedwhenfiredtooearly(userstillinclass),toolate(shoppingdone),orrepeatedly.Thisshapesbothevaluationanddesign.Evaluationmustcreditexactlyonewell-timedresponseandmustincludemomentswheresilenceiscorrect,sinceotherwiseasystemthatalwaysspeaksisindistinguishablefromonethatspeakswell.Andthesystemitselfmustjudgenotwhetheramemoryisrelevant,butwhetheritjustifiesintervening.

TostudythisregimeweintroducetheMemoProBenchbenchmark:egocentricvideopairedwithacontrolled,distractor-richyear-longmemoryoftheuser'spast(~618Ktokensonaverage),spanningeverydayscenarios(kitchen,shopping,commuting)andreasonstospeakup(restocking,safetyhazards,unfinishedtasks).Eachsampleisannotatedwithahuman-verifiedtriggerwindowfixingwhenaresponseisdueandaground-truthreminderfixingwhatitshouldsay;aclipcountsascorrectonlywhentheassistantspeaksonce,insidethatwindow,withgroundedcontent.Thebenchmarkalsoincludesclipsonwhichnothingwarrantsaresponse,soabstentionismeasuredratherthanassumed.Becausethememoryissynthesizedunderourcontrol,wecanconstructconditionsthatnaturalisticdatadoesnotadmit,aboveallsupplyingasample'sexactjustifyingevidence.

Thisenablesustorunacontrolledstudyofwhatthetaskactuallydemands:a2×2overmemorycontent(oracleevidencevs.retrieval)andtiming(givenvs.chosenbytheassistant;Section4).Twofindingsemerge.First,everymodelweevaluateperformspoorly(atmost15%),includingfrontiermodelsgivensummarizedorretrieval-augmentedmemory,sothegapisnotanartifactofmodelscale.Second,thetwoaxesare

3

independentlynecessary:withoracleevidencedeliveredinsidethetriggerwindowGPT-5.3-Chatreaches96.0%,butonly38.0%ifitmustchoosethetimingitself,and15.3%iftheevidenceisretrievedratherthangiven.Generationisnotthebottleneck;deliveringtherightmemoryattherighttimeis,anddroppingeitherfactoriscatastrophic.

Guidedbythis,wedesignMemoProAgentwithaplug-and-playharnessthataddressesbothaxesatonce.MemoProAgentorganizestheuser'spastintoepisodicandsemanticmemoriesasagraphandtraversesittosurfacememoryrelatedtothecurrentscene;agatethendiscardswhatisaccuratebutnotworthinterruptingfor,sothegeneratorseesevidenceonlywhenareminderiswarranted.AlightweightRLpost-trainingstageadaptsthegeneratortotheharnessandcurbsearlyandrepeatedfiring.MemoProAgentraisesstrictaccuracyfrombelow10%to37.5%onanopen-sourcemodeland38%onGPT-5.3-Chatwithnotrainingatall;post-trainingreaches42.4%.

Insummary,ourcontributionsareasfollows:

·Weidentifywhatmakesmemory-drivenproactiveassistancehard.Acontrolledfactorialstudyseparatestheproblem'stwoaxesandshowstheyareindependentlynecessary:removingeithercollapsesperformancefroma96%oracleceilingto38%and15%respectively.

·Webuildtheinstrumentthatmakesthismeasurable:theMemoProBenchbenchmark,pairingegocentricvideowithyear-long,distractor-richpersonalmemoriesandhuman-verifiedtriggerwindows,withaprotocolthatscoreswhether,when,andwhatanassistantsays,andcreditsasystemonlyifitstayssilenttherestofthetime.

·Weshowthediagnosisisactionable.MemoProAgent,builtonaplug-and-playharness,retrievesfromagraph-organizedmemoryandgatestheresultonwhetheritjustifiesinterrupting—notmerelywhetheritisrelevant—liftingstrictaccuracyfrombelow10%to37.5%onanopen-sourcemodeland38%onGPT-5.3-Chatwithoutanytraining;alightweightRLstagereaches42.4%.

2RelatedWork

Memoryaugmentation.Memoryaugmentsamodelwithknowledgebeyonditscontext,retrievedfromanexternalstoreand,inrecentsystems,organizedasalong-termepisodicandsemanticrecordofauser'spast(Guuetal.,2020;Karpukhinetal.,2020;Lewisetal.,2020;IzacardandGrave,2021;Asaietal.,2024;Edgeetal.,2024;Packeretal.,2023;Parketal.,2023;Zhongetal.,2024;Huangetal.,2026;Yangetal.,2025;Linetal.,2025;Longetal.,2025;Yeoetal.,2025;Luoetal.,2025;Jiangetal.,2025).Acrossthislinethequeryisinhand:memoryisretrievedtoanswerorgroundanexplicitrequest,andsuccessismeasuredbythequalityofthatanswer.Inoursettingthereisnoexplicitquery;thesystemmustcontinuouslyinteractwithitsmemoryasthesurroundingsunfoldanddecidewhethertointerveneatall,sotheevidencemustbefoundbeforeitcanbeused.

Proactiveassistance:settings,evaluation,andmethod.Proactiveassistantsdifferinhowmuchofwhatto

sayishandedtotheminadvance(Table1).Inmostsettingstheevidencelicensingaresponseisgiven,soonlythetimingiseverinquestion:priorworksuppliesanexplicitquestionatfixedtimestamps(Linetal.,2024;Niuetal.,2025;Wangetal.,2025d),aquestionansweredatamodel-chosentime(Wangetal.,2025a),

atask-guidancegoal(Zhangetal.,2025),orashortuserprofile(Ranetal.,2026).¹Becausethecontentisgiven,theirevaluationgradesmainlytiming:needlessspeechisscoredasanaggregateprecisionterm(Zhangetal.,2025;Gongetal.,2026),andhit-stylemeasurescreditanyintervalcontainingonecorrectresponse(Ranetal.,2026).Theirmethods,inturn,learnwhentospeakfromthesuppliedcontent(Chenetal.,2024;Wang

etal.,2025b),somewithreinforcementlearning(Wangetal.,2025c;Ranetal.,2026).Oursettingremovesthisgiven-contentassumption:withnoqueryandtheevidenceburiedinalongpersonalmemory,thesystemmustfindwhattosaybeforeitcandecidewhen,whichforcesevaluationtogradecontentandtimingjointlyandrequiresamethodbuiltforretrievalratherthangivencontext.Mostsimilarisconcurrentwork(Gongetal.,2026),whichproposesEgoServe,abenchmarkforproactiveassistanceovercontinuousegocentricvideo,withthetraining-freeEgoMemoagent.Wedifferintwoways.Atthememorylevel,ourcontrolledmemory

¹Ranetal.(2026)capthegeneratedper-videousermemoryat10-35words(theirAppendixA.5).

4

Table1Proactiveassistancesettings,bywhatthesystemisgivenandwhattheevaluationmeasures.Query-free:

noexplicituserqueryatinference.Personalmemory:kindandtypicallengthofpersistentusercontext.Retrieval:

relevantevidencemustbefoundratherthansuppliedincontext.Timing:responsetimingisgraded.Content×Timing:theevaluationseparatescontentfailuresfromtimingfailures.√yes,opartially,Xno.tConcurrentwork(arXiv,July2026).

Benchmark

Personal

memory

Query-

free

Retrieval

required

Timing

graded

Content×

Timing

Query-drivenstreaming

StreamingBench(Linetal.,2024)OvO-Bench(Niuetal.,2025)

OmniMMI(Wangetal.,2025d)

ProactiveVideoQA(Wangetal.,2025a)

—一

x

x

o

x

x

x

X

x

D

O

o

x

X

X

X

Query-free,withpersistentcontertProAssist(Zhangetal.,2025)

EgoPro-Bench(Ranetal.,2026)EgoServe(Gongetal.,2026)

taskgoal~30tok

videostream

√

√

√

x

x

√

v

√

√

x

x

X

MemoProBench(ours)

~618Ktok

√

√

√

√

enablesacontrolledstudythatpinpointswhysystemsfailandshowsthatsuccessrequirestherightmemoryattherighttime(Section4),whicharealmemorydoesnotpermit.Atthemethodlevel,whereGongetal.(2026)letthegeneratordecideateverystepwhethertointerveneandfindthatmostsystemsperformpoorly,weaddagatethatfiltersdistractingmemoryandapost-trainingstagethatlargelymitigatesthisweakness(Section5).

3TheMemoProBenchBenchmark

WeintroduceMemoProBench,abenchmarkformemory-drivenproactiveassistance(MPA).Unlikereactivebenchmarksthatpairanexplicitquerywithatargetanswer,MemoProBenchasksasystemtowatchanegocentricvideostream,consultalong-termmemoryoftheuser'spastexperiences,andemitagroundedproactiveinterventiononlywhenwarrantedandonlyattherighttime.Wefirstformalizethetask(Section3.1)anddefinetheevaluationmetrics(Section3.3);thedataconstructionpipelineisdeferredtoAppendixC,withhumanannotationdetails(annotatorcount,reviewquestionsandresponsedistributions,verdictaggregation,andacceptancerate)inAppendixC.1.

3.1ProblemDefinition

Setup.Aproactiveassistantobservesauser'sexperienceasanonlinemultimodalstreamV=(u1,v₂,…),wherevtistheobservationattimestept,andhasaccesstoalong-termmemoryM²accumulatedfromtheuser'spastexperiences.Thesettingiscausalandquery-free:ateachtimesteptthesystemconditionsonarecentobservationwindowVt-n:t=(vt-n,…,vt)togetherwithM,andreceivesnoexplicituserquery.

Task.Wemodelthesystemasanalways-oncausalpolicyπthatateverytimestepemits

Tt=π(M,Vt-n:t)∈{8}UA,

whereAisthespaceofnatural-languageinterventionsandødenotesstayingsilent.Thesystemstayssilentmostofthetime;itsmeaningfulbehavioristhesparsesetofinterventions

E(π)={(ti;ai):Tt≠x},

eachspecifyingwhattosay(ai∈A)andwhentosayit(t;).

2HowasysteminteractswithM(howitisorganized,andwhetheritisaccessedby,e.g.,summarizationorretrieval)isitselfpartofthetaskandlefttothemethodunderevaluation.

CToams2lt

Maintenance

13.0%

1

9.8%

(a)Scene(b)Reminderreason(c)Duration

Figure2StatisticsoftheMemoProBenchevaluationset:(a)sceneand(b)reminder-reasondistributions,and(c)

trigger-windowandvideodurations.

Correctness.Thelong-termmemorydeterminesasetofadmissibletriggerwindows

W(M)={W₁,..,Wm},

whereeachwindowW;correspondstooneworth-interveningmatter,withstartandendtimest,andt号.Ifamatter'stargetappearsintermittently(e.g.,visibleover2-8sandagainover40-48s),W;isdefinedbyitsfirstappearance(2-8shere):thedesiredbehavioristointerveneattheearliestappropriatemoment,andlaterreappearancesdonotopennewwindows:oncethatearliestappropriatemomenthaspassed,re-raisingthesamematterisaredundantinterruptionratherthananewopportunitytohelp.InMemoProBench,visiblesegmentsseparatedbyatmost8saretreatedasoneappearance,andeachclipcontainsexactlyonesuchwindow(AppendixC).Anintervention(ti,ai)∈E(π)iscorrectifitfireswithinitscorrespondingwindow(ti∈W;)anditscontentisfaithfultotherelevantmemoryandgroundedinthecurrentframee(JUDGE(a;|m;,Vt;)=1,wherem;≌Mistheevidenceattachedtowindowj);otherwiseitisincorrect.Theedesiredbehaviorisexactlyonecorrectinterventionperwindowandsilenceelsewhere:firingoutsideW;isearly-orlate-triggering,andrepeatedfiringisover-triggering.

3.2DataStatistics

Ourfullbenchmarkcontains1,804datapairs,splitinto904fortraining,100fordevelopment,and800forevaluation;wewillreleasetheevaluationsetandtheMemoProAgentcodeuponpublication.Eachpairconsistsofanegocentricvideoclip,drawnfromEgo4D(Graumanetal.,2022),withasingletriggerwindow(theintervalinwhichaproactiveinterventioniswarranted),togetherwitharealistic,year-longper-sonalhistory.Thehistoryisastreamoftimestampedfirst-personcaptions([V]forvisibleactions,[C]forconversationalcontent)thatmixmain-arcmilestones,

Table2Memoryhistorystatistics.

Memoryhistory

Mean(min-max)

Timespan(days)Events

Captions

Tokens(w/timestamps)

362(330-365)946(641-1,020)

28.1K(19.7K-34.3K)618K(437K-762K)

TargetmemorytokensTargetmemoryshare

1.2K(0.4K-3.4K)

0.19%(0.06%-0.57%)

Obe

Safety

9.0%

17.4%

Duration(s)

Mean

200

150

100

72s

50

24s

TriggerVideo

window

250

0

persona-derivedinterests,neutraldailydistractors,andtheevidencethatjustifiesthereminder(seeAp-pendixD.3fortheeventtypesandrenderedexamples).AssummarizedinTable2,eachhistoryspansaboutayearandislong(~618Ktokens),whilethetargetevidenceisonly~0.19%ofit,sotherelevantevidenceishardtofind(AppendixD.4).Figure2showsthedistributionsofscenesandreminderreasons,andthetrigger-windowandvideodurations(onaverage,trigger-window/videoratio～0.33).Figure3showstwosamples;morearegiveninAppendixD.2.Thebenchmarkalsoincludes150negativeclips,constructedbyremovingthetargetmemoryfromtheuserhistory,onwhichnothinginmemorywarrantsaninterventionandtheonlycorrectbehaviorissilence,soanyfireispurecost.

6

Semantic:You'resensitivetocaffeine—concentratedtabletstendtocausejittersandkeepyouup,soyouavoidthem,especiallylaterintheday.

Episodic·7daysago:Youtriedcaffeinepillsrecentlyandfeltwiredforhoursafterward,whichmessedwithyoursleep.

Referencereminder:“Youfeltuiredlasttime;skiptheseandchooseteaorasmallcoffee.”

Kitchen&Dining·Verification

Window22-33s

Episodic·6daysago:Youoncestartedthecoffeemakerwithoutamugunderthespoutandhadtocleanuptheoverflowafterward.Episodic·20daysago:Anothertimeyougrabbedamugthathadaspoonandoldcoffeeinit,andyourdrinktastedoffuntilyouswappeditforacleanone.

Referencereminder:“Grbeforestarting.”

ab

a

clean

mug

and

place

it

under

the

spout

Figure3TwoMemoProBenchsamples.Eachcardshowsframesfromthetriggerwindow,theusermemorythatjustifesanintervention(episodicmemorieswiththeirage,orsemanticmemories),andthereferencereminder.Thememoriesshownarehigh-leveleventdescriptions;inthebenchmarktheyarerenderedintothecaptionstreamthatthesystemreceivesasinput(AppendixD.3).MoreexamplesareinAppendixD.2.

3.3EvaluationMetrics

EachinstanceinourdatasethasasingletriggerwindowW=[ts,te],sowestatethemetricsperclip.Let{f1,…,fk}bethetimestampsatwhichasystemfires.FollowingSection3.1,afireiscorrectifitisin-uvindow(ts≤fi≤te+δ,therightmoment,withatimingtoleranceδdefinedbelow)anditscontentisGooD,i.e.theinterventionaf:isjudgedsensiblebyanLLMjudge³conditionedonthewindow'sevidencemMandthee

currentobservationvf:(JUDGE(af:|m,vf:)=1,therightcontent).

Clip-levelbehaviors.Wethensummarizeasystem'sfiringbehavioroneachclipwiththefollowingmeasures:

·Hit:thecliphasatleastonecorrectfire(3fi∈ts,te+δ)withGoODcontent),i.e.thesystemeversaystherightthingattherighttime,ignoringanyextraormistimedfires.

·Early-trigger:thesystemfiresbeforethewindow(3fi<ts),i.e.itspeaksbeforethereminderiswarranted.

·Late-trigger:thesystemfiresafterthewindow(3fi>te+δ),i.e.itspeaksoncethemomenthaspassed.

·Over-trigger:thesystemfiresmorethanonce(k>1),i.e.itinterruptstheuserrepeatedly.

·Perfect(primarymetric):thesystemfireseractlyonce,in-windowandGooD,i.e.aHITwithnoearly-,late-,orover-trigger:

Timingtolerance.Sincethesliding-windowparadigmdecidesonlyevery2s(Section4.1),afireatthefirst

decisionstepaftertemaystillbetherightmoment;wethereforesetδ=2sbydefault.

Requiringexactlyoneinterventionisdeliberate.Becauseeachutteranceisaninterruption,repetitionisafailureevenwhenthecontentisright:anassistantthatdeliversthecorrectreminderthreetimeshasinterruptedtheusertwicefornothing.Unlessotherwisenoted,wereportPERFECTasthemainmetricandbreakdowntheotherbehaviorsabove,togetherwiththeaveragenumberoffiresperclip,toshowwhereasystemlosesperformance.

4PreliminaryFindings

Tostudyhowexistingproactiveimplementationsbehaveandwheretheyfallshort,wefirstconductapreliminarystudyaroundtworesearchquestions:RQ1,doeshavingthememorysuffice?Wegiveexistingassistantsthelong-termmemoryinthemostdirectwaysavailable:allofit,asummaryofit,orretrieved

3ThepromptoftheLLMjudgeisshowninAppendixH.

(b)Streamingparadigmonedecisionevery1s;KVcachereused

Systemprompt.taskinstructions+[MEMORY]

framesand

pastanswersretained

t+1s

t+2s

upto30turns(oneframeeach),thenthelatest4arekeptandanewchunkstarts

Observe.<observe>textobservationofthecurrentview→retrievalquery

Decision.(Alreadyspoken:{pastinterventions}+kevidence>forretrievalmethods)→{intervention}orNO_REMINDER

(a)Sliding-windowparadigmonedecisionevery2s

Systemprompt.taskinstructions+[MEMORY]

Visualinput.t-3t-2[

4fames

t+2s

t+4s

Observe.<observe>textobservationofthecurrentview→retrievalquery

Decision.Alreadyspoken:{pastinterventions}+<evidence>→{intervention}orNO_REMINDER

freshwindowateachdecision

Staticmemory(noObserveround.no<evidence>)None:[MEMORY]isempty

All-history:[MEMORY]=chronologicallife-log(sliding-windowonly)

Summary:[MEMORY]=memorysummary

ans={intervention}orNO_REMINDER

Retrievedmemory([MEM