Back to Arena

D-Mem

by You et al. (2025)

System Card

OrganizationYou et al. (2025)
Released2025-11
Architecturehybrid / System-1 vector retrieval + System-2 full deliberation fallback
DetailsDual-process memory: System-1 uses fast vector retrieval for routine queries (Mem0-style); System-2 invokes a Full Deliberation module as a high-fidelity fallback when fine-grained context is needed.
Parameters—
Domainagent-memoryepisodic-session
Open SourceNo
PaperView Paper
dual-processsystem-1-2fallbackmem0-compatible

Capability Profile

Benchmark Scores

6 of 14 benchmarks
Data Transparency:1 self-reported5 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
78.478pSelf-Reported
MemoryBank
77.965pEstimated
Cross-Session Memory
1/1
LongMemEval
77.359pEstimated
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
7579pEstimated
HotpotQA
79.494pEstimated
Agent Task Memory
1/1
AgentBench-Mem
7226pEstimated
Personalization
0/1
PerLTQA
no data
Factuality / Grounding
0/1
RAGAS
no data
Sources:arXiv:2603.18631 Table 1 — LLM-judge with GPT-4o-mini Full Deliberation; F1 55.3, BLEU 44.2. Using LLM-judge as primary to match Mem0/Backboard/MemR3 comparabilityArena estimate — derived from capability profile, not independently verified