Aside: AI memory on 80K+ devicesHow Aside powers AI memory across 80,000+ devices · 113M documents · 24.8B tokens · 150+ countries

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Built for real-time AI applications

From voice agents to AI copilots, Moss gives your product <10ms semantic retrieval without managing vector infrastructure.

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> Query: refund policy

Retrieving... 8ms

✓ Top match found

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Keep conversations flowing with instant context retrieval

When voice agents pause, users notice. Moss retrieves context in milliseconds so conversations stay natural.

AI phone agentsCustomer support botsScheduling assistants
Build voice agents

I need to reschedule my appointment

Sure! I see you're booked with Dr. Chen, Thursday at 2pm. What day works better for you?

Does next Tuesday work?

Yes, Tuesday at 2pm is open. Want me to move it there?

Yes, please.

Rescheduled to Tuesday, 2pm

4ms

Why Teams Choose Moss

<10 ms

Query latency

Zero Infra

No vector infra to manage

Runs Anywhere

Cloud, browser, edge, device

Production Ready

Built for real workloads

Traditional semantic search slows real-time AI down

See how Moss works
CapabilityTraditional Vector DBsMoss
Query latency50–300ms+<10ms
Infrastructure managementRequiredNone
Cloud dependencyYesOptional
Voice AI readinessWeakStrong
Browser deploymentNoYes
On-device supportRareYes

What teams are building

AI Voice Support

Instant retrieval for real-time customer conversations

Developer Copilot

Context-aware coding assistance without lag

Embedded Product Search

Natural-language search inside SaaS products

Offline AI Assistant

Private semantic retrieval running locally

Get started in minutes

$ npm install @moss-dev/moss
QuickstartGithub

Ready to ship faster AI products?

Moss gives you production-ready semantic retrieval without infrastructure complexity.

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Use Cases

Voice AIAI CopilotsIn-App SearchOn-Device AI

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