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Lindy AI

by Lindy AI

System Card

OrganizationLindy AI
Released2023-01
Architectureagentic-workflow / Personalized AI Chief-of-Staff
DetailsLindy builds persistent preference memories from user feedback across email, calendar, and CRM interactions, adapting its writing style and scheduling behavior over time. Lindy 3.0 introduced "Agentic Reasoning" enabling browser navigation and multi-app task completion with self-correction. Memory is accumulated across sessions to continuously adjust to user priorities, style, and workflow patterns.
Parameters—
Domainagent-memorypersonalizationepisodic-session
Open SourceNo
WebsiteVisit
productivityemailcalendarworkflow-automationpersonalizationagentic

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
7440pEstimated
MemoryBank
81.586pEstimated
Cross-Session Memory
1/1
LongMemEval
80.583pEstimated
Multi-Hop QA
2/3
BABILong
no data
MultiHop-RAG
72.759pEstimated
HotpotQA
72.859pEstimated
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