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Bee Computer

by Bee (acquired by Amazon 2026)

System Card

OrganizationBee (acquired by Amazon 2026)
Released2024-07
Architectureepisodic-buffer / Always-On Ambient Wearable Memory
DetailsBee is a $49.99 wearable (clip-on or wristband form factor) with beamforming microphones and 7-day battery that continuously captures ambient audio, immediately converting it to text without storing raw audio recordings. Cloud processing on Amazon infrastructure generates daily summaries, a running user-fact knowledge graph, and proactive task/reminder suggestions. Raised $7M in July 2024; sold out first batch within 24 hours. Acquired by Amazon in early 2026.
Parameters—
Domainepisodic-sessionlifelong-learningpersonalization
Open SourceNo
WebsiteVisit
wearableambient-captureamazonalways-ondaily-memoryno-audio-storage

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
7335p
MemoryBank
81.485p
Cross-Session Memory
1/1
LongMemEval
81.989p
Multi-Hop QA
1/3
BABILong
72.522p
MultiHop-RAG
no data
HotpotQA
no data
Agent Task Memory
1/1
AgentBench-Mem
7226p
Personalization
1/1
PerLTQA
82.559p
Factuality / Grounding
0/1
RAGAS
no data
Sources:Bee Computer vendor documentation; evaluated on LoCoMo: Long-Term Conversational Memory Benchmark (Snap Research, 2402)Bee Computer vendor documentation; evaluated on LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory (Salesforce AI Research, 2410)Bee Computer vendor documentation; evaluated on MemoryBank: Enhancing LLMs with Long-Term Memory (Sun Yat-sen University, 2305)Bee Computer vendor documentation; evaluated on PerLTQA: A Personal Long-Term Memory Question Answering Dataset (PolyU, 2402)Bee Computer vendor documentation; evaluated on AgentBench Memory Track (Tsinghua KEG, 2308)Bee Computer vendor documentation; evaluated on BABILong: Testing the Limits of LLMs with Long-Context Reasoning-in-a-Haystack (AIRI, 2406)