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Letta
by Letta (formerly MemGPT)
System Card
OrganizationLetta (formerly MemGPT)
Released2024-09
Architectureagentic-workflow / Tool-driven memory blocks
DetailsLLM agent manages explicit memory blocks via tool calls. Recall, archival, and summarization are model-decided actions. Built on the MemGPT virtual-context paradigm with persistent agent state.
Parameters—
Domainagent-memoryepisodic-sessionlifelong-learning
Open SourceYes
PaperView Paper
WebsiteVisit
CodeRepository
agenticmemgpttool-usestateful-agent
Capability Profile
Benchmark Scores
3 of 14 benchmarksLong-Context Retrieval0/5
RULER
no dataNIAH
no dataLooGLE
no dataLongBench
no data∞Bench
no dataMulti-Turn Recall1/2
MemoryBank
no dataCross-Session Memory1/1
Multi-Hop QA0/3
BABILong
no dataMultiHop-RAG
no dataHotpotQA
no dataAgent Task Memory1/1
Personalization0/1
PerLTQA
no dataFactuality / Grounding0/1
RAGAS
no data