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A-MEM

by AGI Research / Rutgers

System Card

OrganizationAGI Research / Rutgers
Released2025-02
Architectureagentic-workflow / Zettelkasten-inspired dynamic linked notes
DetailsGenerates structured notes with contextual descriptions, keywords, and tags for each memory, then dynamically identifies connections to existing memories. Memory evolves as new entries trigger updates to historical memories, producing self-organizing knowledge networks.
Parameters—
Domainagent-memorylifelong-learning
Open SourceYes
PaperView Paper
CodeRepository
zettelkastendynamic-linkingagenticself-organizing

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
86.497pEstimated
MemoryBank
77.564pEstimated
Cross-Session Memory
1/1
LongMemEval
83.192pEstimated
Multi-Hop QA
2/3
BABILong
73.637pEstimated
MultiHop-RAG
no data
HotpotQA
7784pEstimated
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