Memories AI
Memories.ai builds visual-memory infrastructure for AI: systems that turn video and visual experience into persistent, structured, searchable memory. Its stated mission is to let physical intelligence self-evolve through visual memories, while its LUCI product gives personal AI agents local memory of a user's screen and meetings.
At a Glance
- Robotics and physical-AI companies
- Smart-glasses, wearable, mobile, and consumer-electronics makers
- Media and entertainment companies
- Security and safety organizations
- +3 more
AI Tools by Memories AI
(1)
LUCI
Persistent Memory for AI Agents
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Latest News
Jim Cathey, former Qualcomm Chief Commercial Officer, joins Memories.ai's advisory board
Memories.ai brings its Omni-Model to Qualcomm Snapdragon for on-device perception
Memories.ai launches LUCI Desktop, a free fully local screen-and-meeting memory application
Project LUCI demonstrated at Microsoft Build 2026 as on-device visual AI across PC, wearables, and IoT
Products & Services
The company's core visual-memory model and infrastructure for converting large volumes of video into structured, searchable memory with temporal grounding, indexing, retrieval, and reasoning.
Enterprise/developer platform for integrating visual-memory, video search, summarization, and multimodal understanding into products and workflows.
On-device visual-AI initiative for unifying personal memory across PCs, wearables, and IoT devices.
Free Mac and Windows desktop app that captures screen activity and meetings locally, builds searchable personal memory, and exposes it to coding and AI agents.
Market Position
Memories.ai positions itself as a persistent visual-memory infrastructure layer rather than a conventional short-clip video analyzer or meeting-only notetaker. Its differentiation is long-context LVMM indexing and retrieval, on-device perception, and the ability to support physical AI, enterprise video, and personal agents; LUCI is positioned against products such as Rewind, Granola, Otter, and screen-history tools by combining screen plus meeting memory locally and making it available across multiple agents.
Leadership
Founders
Shawn Shen
Founder and CEO; University of Cambridge PhD and research scientist, with prior research experience at Meta Reality Labs. He also describes earlier work in computational neuroscience and multimodal AI at Cambridge.
Ben (Enmin) Zhou
Co-founder and CTO; former Meta Reality Labs researcher and ML engineer who led on-device perception work.
Executive Team
Shawn Shen
Founder & CEO
University of Cambridge PhD and research scientist; former Meta Reality Labs researcher.
Ben Zhou
Co-Founder & CTO
Former Meta Reality Labs ML engineer and lead in on-device perception.
Board of Directors
Founding Story
Shawn Shen and Ben Zhou started Memories.ai after working together at Meta Reality Labs and concluding that increasingly capable AI systems still lacked persistent memory. The initial vision was to build a visual-memory layer that converts long-running video into structured, searchable experience so AI can see, remember, and improve over time.
Business Model
Revenue Model
Enterprise and developer access to the Memories.ai visual-memory/API platform, with integrations and deployments for media, security, robotics, physical AI, and device makers. LUCI Desktop is distributed as a free local application.
Pricing Tiers
No trial, subscription, or credit card; includes unlimited agent runs, meeting recording/transcription, local memory, and all listed LUCI features on Mac and Windows.
Target Markets
- Robotics and physical-AI companies
- Smart-glasses, wearable, mobile, and consumer-electronics makers
- Media and entertainment companies
- Security and safety organizations
- Enterprise video owners and archives
- AI developers and platform integrators
- Robotics and physical AI learning from prior visual experience
- Smart glasses, wearables, phones, PCs, and personal AI
- Enterprise media/archive search and catalog analysis
- Security and safety footage search, auditing, and change detection
- Social-video analysis at scale
- On-device workday memory and AI-agent context
- NVIDIA Partner Program
- Lenovo
- Samsung
- Vivo