Kindroid

by Kindroid

System Card

OrganizationKindroid

Released2023-06

Architecturehierarchical-summary / Five-Layer Cascaded Memory

DetailsKindroid uses a five-layer configurable memory architecture combining user-provided facts, AI-generated inferences, behavioral pattern tracking, emotional preference modeling, and relationship dynamics — all updated via a Cascaded Memory system for context-aware retrieval. Supports rich backstory definition, AI-generated selfies, voice calls, and Second Life integration. Scored second-highest in independent memory recall tests (14/25 detailed facts retained vs. Nomi's 23/25). Founded by Stanford CS dropout Jerry Meng, launched June 2023.

Parameters—

Domainpersonalizationepisodic-sessionlifelong-learning

Open SourceNo

WebsiteVisit

companionfive-layer-memoryvoice-callscustomizableavatarsdeep-personalization

Capability Profile

Benchmark Scores

6 of 14 benchmarks

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

77.873p

MemoryBank

75.349p

Cross-Session Memory

1/1

LongMemEval

70.423p

Multi-Hop QA

1/3

BABILong

77.171p

MultiHop-RAG

no data

HotpotQA

no data

Agent Task Memory

1/1

AgentBench-Mem

71.524p

Personalization

1/1

PerLTQA

74.636p

Factuality / Grounding

0/1

RAGAS

no data

Sources:Kindroid vendor documentation; evaluated on LoCoMo: Long-Term Conversational Memory Benchmark (Snap Research, 2402)Kindroid vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)Kindroid vendor documentation; evaluated on MemoryBank: Enhancing LLMs with Long-Term Memory (Sun Yat-sen University, 2305)Kindroid vendor documentation; evaluated on PerLTQA: A Personal Long-Term Memory Question Answering Dataset (PolyU, 2402)Kindroid vendor documentation; evaluated on AgentBench Memory Track (Tsinghua KEG, 2308)Kindroid vendor documentation; evaluated on BABILong: Testing the Limits of LLMs with Long-Context Reasoning-in-a-Haystack (AIRI, 2406)