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ArcMemo

by UC Berkeley / Stanford (Ho et al.)

System Card

OrganizationUC Berkeley / Stanford (Ho et al.)
Released2025-09
Architectureepisodic-buffer / Concept-level (not instance) abstract memory
DetailsStores reusable, modular natural-language concepts distilled from solution traces. Concepts are retrieved and integrated into prompts for future queries, enabling test-time continual learning without weight updates.
Parameters—
Domainlifelong-learningagent-memory
Open SourceYes
PaperView Paper
CodeRepository
arc-agiconcept-memorytest-timeabstract-reasoning

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:6 estimated
Long-Context Retrieval
0/5
RULER
no data
NIAH
no data
LooGLE
no data
LongBench
no data
∞Bench
no data
Multi-Turn Recall
2/2
LoCoMo
75.552pEstimated
MemoryBank
82.790pEstimated
Cross-Session Memory
1/1
LongMemEval
85.195pEstimated
Multi-Hop QA
2/3
BABILong
7768pEstimated
MultiHop-RAG
no data
HotpotQA
74.868pEstimated
Agent Task Memory
1/1
AgentBench-Mem
7226pEstimated
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:Arena estimate — derived from capability profile, not independently verified