Gobi

Name: Gobi
Brand: Gobi

The capture layer for the real world

softwareAI Productivityambient intelligencelifeloggingAI memory

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What is Gobi?

Gobi is an ambient intelligence company building a private 'capture layer for the real world.' It captures conversations, meetings, voice memos, photos, and videos via ambient devices like Gobi Sense eyewear, and makes them available to AI agents through Gobi CLI. Captures are summarized, associated with people, and stored in a private-by-default personal space.

SpecificationsAI-estimated

HardwareGobi Sense eyewear

SoftwareGobi CLI — connects captures to Claude, Codex, and other AI agents

AvailabilityComing 2027

Privacy modelPrivate by default; sharing is selective and explicit

Capture formatsConversations, meetings, voice memos, photos, videos

Key Features of Gobi

Ambient capture of conversations, meetings, voice memos, photos, and videos

Gobi Sense eyewear for hands-free, button-free capture

Automatic summaries, people extraction, and next-action suggestions

Gobi CLI to feed personal captures into Claude, Codex, or other AI agents

Private by default; sharing is explicit and selective

Use Cases for Gobi

Remembering personal conversations

Capture face-to-face conversations and never forget what was said.

Feeding AI agents real-world context

Give Claude, Codex, or other agents access to actual meetings and promises made in real life.

Meeting and voice memo capture

Automatically summarize meetings, voice memos, and follow-up actions.

Hands-free ambient capture

Wear Gobi Sense eyewear to capture moments without any phone interaction.

Pros & Cons of Gobi

Pros

True ambient capture with no need to press buttons or pull out a phone
Private by default, with explicit sharing controls
Integrates with AI agents like Claude and Codex via Gobi CLI
Designed to capture real-world conversations and moments, not just typed data

Cons

Not yet available — expected in 2027
Depends on future hardware adoption (Gobi Sense eyewear)
Privacy implications of continuous real-world capture will need careful trust-building