Catalog Systems Voice-first / wearable AI memory Memories.ai LVMM 2.0 / Project LUCI

Memories.ai LVMM 2.0 / Project LUCI

https://memories.ai/blog/collaboration-with-qualcomm

Developer-first reference platform for AI wearables. LVMM 2.0 captures visual data through video, encodes it into frames on-device, and stores moments as searchable memories; companion app surfaces past conversations/decisions/experiences. Hardware-level security via Qualcomm partnership; cloud sync for enterprise tiers.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 38 cited facts, 11 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Type
On-device Large Visual Memory Model for wearables vendor fix
Tier
T2
Section
Voice-first / wearable AI memory
Created
2024 (Memories.ai founded); 2025-07 LVMM 1.0; 2026-01 (CES) Project LUCI + LVMM 2.0 third-party fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS (proprietary model) fix
GitHub
not applicable — no GitHub repo (closed model) fix
Pricing
Free 100 credits/mo; Plus $15/mo (5,000 credits, annual); Enterprise custom (incl. on-prem); usage API e.g. storage $0.03/GB-mo, search $0.10/1K queries vendor fix
Funding
total $16M seed ($8M seed 2025-07 + $8M extension 2026-06; Susa Ventures led) third-party fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
Accelerator
seedcamp-2025 third-party fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
long-term
update
append-only
unit
episode
governance
user-controllable
conflict
none

When to use

Optimised for: on-device visual memory encoding for wearables; episodic recall of past conversations/decisions/experiences; privacy via local processing

Anti-fit: not for cloud-only / non-wearable contexts; not for text-only memory (visual focus); not for users requiring open model weights or auditable consolidation

Pros & cons

Pros

On-device visual encoding addresses cloud-bandwidth/privacy concerns of Humane AI Pin / Rabbit R1; Qualcomm + Nvidia Metropolis partnerships; ex-Meta-Ray-Ban founders bring direct wearable AI experience.

Cons

Closed model (no LVMM benchmarks public); pricing/SDK terms undisclosed; reference-platform model relies on third-party hardware partners shipping; LVMM 2.0 Qualcomm rollout ""later this year"" (2026) — not yet shipping at scale.

Claims & capabilities

World's first Large Visual Memory Model (vendor positioning); on-device inference on Qualcomm processors; Nvidia GTC collaboration uses Cosmos-Reason 2 + Metropolis

Technical surface

API surface
Developer SDK (positioned ""like Nexus phones"" for Android-style ecosystem)
Backend storage
Qualcomm SoC + on-device storage + cloud sync
Deployment
Hybrid (on-device LVMM 2.0 + cloud companion)
Embedding model
proprietary LVMM 2.0 visual encoder (no separate text embedder cited)
Multi-tenancy
per-user device
MCP
searched not found
A2A
searched not found
OpenTelemetry
searched not found

Alternatives to Memories.ai LVMM 2.0 / Project LUCI → live options ranked by shared design, licence, hosting and MCP support

Similar systems

Other voice-first / wearable ai memory in the catalog, ranked by inbound references.

  • Granola T1

    Mac/iOS app (no hardware). Captures meeting audio via system-audio tap (no bot joining); generates notes from your shorthand + audio. Local audio processing claim; cloud for summaries. Enterprise tier opts out of model training.

  • Bee T1

    Acquired by Amazon (Jul 2025); bee.computer is now © Amazon and sells the Bee Frontier wearable ($74.99), with a Bee Eclipse device marked coming soon. Small wearable (pendant / clip / bracelet). Continuous capture; converts speech to text immediately; never stores raw audio . Daily summaries, personal fact sheet, to-do suggestions. Cloud processing on derived text only.

  • Era Computer T5

    Software platform / OS layer for AI wearables (glasses, rings, pendants, speakers) that abstracts hardware from AI orchestration. Memory and model providers are pluggable and user-controlled rather than cloud-locked; supports 130+ LLMs from 14+ providers. Founded 2025 by ex-Humane team.

  • Friend T1

    Pendant necklace (~2 inches). Always-on listening feeds a persistent AI companion persona. Companionship-framed rather than productivity / recall. Cloud LLM backend; no detailed encryption claims.

  • Limitless T1

    Former Rewind/Limitless lifelog (Pendant wearable + screen/audio capture with timeline search). Acquired by Meta (2025-12); Pendant no longer sold as of 2025-12-05, service withdrawn from the EU, UK, Brazil, China, Israel, South Korea and Turkey on 2025-12-05, desktop/web recording ended and Rewind capture disabled from 2025-12-19; existing Pendant customers supported throughout 2026.

  • Omi T1

    Wearable orb (necklace or clip) with open-source hardware + firmware. Continuous audio capture; real-time GPT-4o transcription; searchable memory graph. Supports app screen capture too. Hybrid privacy: cloud by default (SOC 2/HIPAA/AES-256), full local/self-hosted available under MIT.

Sources (37 cited facts, 11 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • Pricing first recorded as “Free 100 credits/mo; Plus $15/mo (5,000 credits, annual); Enterprise custom (incl. on-prem); usage API e.g. storage $0.03/GB-mo, search $0.10/1K queries” source
    • Funding / ownership “$16M total ($8M seed Jul 2025 + $8M extension); Susa Ventures led; Samsung Next + Fusion Fund + Crane + Seedcamp + Creator Ventures” → “total $16M seed ($8M seed 2025-07 + $8M extension 2026-06; Susa Ventures led)” source
    #219