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Personal AI

by Personal AI

System Card

OrganizationPersonal AI
Released2021-06
Architectureexternal-memory-network / Continuous Lifelong Memory Platform
DetailsPersonal AI builds a persistent memory layer per individual or entity, anchored by a unique Connectivity Identifier (phone number, device, or vehicle). Continuous Memory accumulates all interactions and information into per-entity small language models that run 40x cheaper than hosted LLMs with domain-tuned inference. Deployed on NVIDIA's AI Grid infrastructure with edge and centralized options, with telephony-native voice stack for real-time recall.
Parameters—
Domainlifelong-learningpersonalizationagent-memory
Open SourceNo
WebsiteVisit
lifelong-memorypersonal-dataedge-ainvidiasmall-lmidentity

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
72.332p
MemoryBank
6818p
Cross-Session Memory
1/1
LongMemEval
75.952p
Multi-Hop QA
1/3
BABILong
73.230p
MultiHop-RAG
no data
HotpotQA
no data
Agent Task Memory
1/1
AgentBench-Mem
68.619p
Personalization
1/1
PerLTQA
7432p
Factuality / Grounding
0/1
RAGAS
no data
Sources:Personal AI vendor documentation; evaluated on LoCoMo: Long-Term Conversational Memory Benchmark (Snap Research, 2402)Personal AI vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)Personal AI vendor documentation; evaluated on MemoryBank: Enhancing LLMs with Long-Term Memory (Sun Yat-sen University, 2305)Personal AI vendor documentation; evaluated on PerLTQA: A Personal Long-Term Memory Question Answering Dataset (PolyU, 2402)Personal AI vendor documentation; evaluated on AgentBench Memory Track (Tsinghua KEG, 2308)Personal AI vendor documentation; evaluated on BABILong: Testing the Limits of LLMs with Long-Context Reasoning-in-a-Haystack (AIRI, 2406)