Omi
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.
At a glance
- Type
- Open-source wearable orb + memory graph
- Tier
- T1
- Section
- Voice-first / wearable AI memory
- Created
- 2024-03
- Latest release
- v0.11.378+11378… 2026-05-06
- License
- MIT
- GitHub
- 12.4k★ +104/mo Dart
- Pricing
- Hardware-bundled
- Funding
- $2M seed (Jan 2025; Draper Associates, 468 Capital; prior $700K bootstrapped)
Taxonomy
- storage
- graph
- retrieval
- graph-traversal
- persistence
- lifelong
- update
- append-only
- unit
- episode
- governance
- user-controllable
- conflict
- append
When to use
Optimised for: always-on capture + lifelog timeline + voice UX
Anti-fit: not for enterprise compliance-regulated environments without explicit consent flows
Pros & cons
Pros
Open-source hardware + firmware + cloud — only wearable lifelog with a fully inspectable stack; users can pick their LLM provider.
Cons
DIY-leaning — less polished than vendor-managed competitors; community support is the support model.
Claims & capabilities
Hardware $89. Entire stack open-source on GitHub (BasedHardware/omi). 24h+ continuous capture; users choose LLM provider.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Both
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- searched not found
- A2A
- searched not found
- OpenTelemetry
- no — consumer product
Compare Omi with…
Similar systems
Other voice-first / wearable ai memory in the catalog, ranked by inbound references.
- Bee T1
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.
- 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.
- Limitless T1
Continuously captures screen + audio + wearable input; AI search across the timeline. Privacy-first (local-first storage). Originated as Rewind macOS app; pivoted to wearable + lifelog product.
- Memories.ai LVMM 2.0 / Project LUCI T2
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.