Personal thought capture
Record ideas during the day and let agents classify them into tasks, concepts, reminders or decisions.
Labs / AI Glasses
Smart glasses are the front door. Agents do the real work.
GITHUB:https://github.com/veritiana/agent-glasses-memory-core
AI Glasses explores how wearable input can capture real-world context and send it into verified AI agents that remember, classify, summarize, prioritize and act.
Capture
audio / video
Memory
vector recall
Action
agents execute
Definition
This is not a glasses product. It is an agent interface experiment.
The hardware only captures context. The value starts when that context is transferred into an AI backend that can transcribe, classify, store, recall and trigger useful work.
Wearable input
Audio, images and events from real life become structured input for agents.
System memory
Thoughts, meetings and context are stored with embeddings for semantic recall.
AI agents
Agents classify intent, summarize, prioritize, prepare messages and create tasks.
Right-time feedback
The system returns reminders, summaries and decisions when they are useful.
System architecture
Capture → transfer → process → remember → act.
The core idea is simple: glasses collect real-world signals, but backend agents turn them into useful operational output.
01
Data capture
Smart glasses capture audio, image context and spoken thoughts.
02
Transfer
Mobile app sends selected context to the backend through secure transfer.
03
Processing
STT converts voice to text, classifiers detect intent and metadata.
04
Memory
Text, metadata and embeddings are stored for long-term semantic recall.
05
Output
Agents generate summaries, reminders, tasks, notifications and answers.
Agent runtime
What happens after capture
Transcription Agent
Converts spoken input into timestamped text.
Converts spoken input into timestamped text.
Classification Agent
Detects whether the input is an idea, task, meeting note, reminder, question or decision.
Detects whether the input is an idea, task, meeting note, reminder, question or decision.
Memory Agent
Stores structured context with embeddings and metadata.
Stores structured context with embeddings and metadata.
Action Agent
Creates follow-ups, summaries, priorities, messages and notifications.
Creates follow-ups, summaries, priorities, messages and notifications.
Why it matters
The interface disappears. The workflow remains.
Classic AI waits for a prompt. AI Glasses reverses the flow: context is captured while work happens, and agents decide what should be remembered, summarized or escalated.
Less manual input
Thoughts and events are captured before they are forgotten.
Contextual memory
Recall is based on meaning, not folder names or file paths.
Operational agents
The system can convert context into tasks, notes and actions.
Future interface
Wearables become a practical input layer for verified agent systems.
Example use cases
What this can become.
Meeting memory
Capture meeting context, summarize key points and create follow-up actions automatically.
Email and notification agent
Agents can classify important messages and send the right alert back to glasses or mobile.
Possible stack
Prototype-ready backend architecture.
Labs can be built as a modular backend where every component has a clear responsibility and can later connect to Veritiana’s verified agent infrastructure.
STT
Whisper or equivalent speech-to-text layer.
Whisper or equivalent speech-to-text layer.
Backend
FastAPI service with task routing and API endpoints.
FastAPI service with task routing and API endpoints.
Memory
Vector database for semantic recall and metadata filtering.
Vector database for semantic recall and metadata filtering.
Queue
Redis or RabbitMQ for background processing.
Redis or RabbitMQ for background processing.
Storage
PostgreSQL for structured records and audit history.
PostgreSQL for structured records and audit history.
Integrations
Gmail, Calendar, Notion, Slack or custom dashboards.
Gmail, Calendar, Notion, Slack or custom dashboards.
Security principle
Personal context requires strict control.
A wearable agent system must treat audio, memory and notifications as sensitive infrastructure. The prototype must be designed around consent, user control, encryption and selective capture.
Rules
Minimum safety baseline
Selective capture
Do not assume everything should be recorded.
Do not assume everything should be recorded.
User-controlled memory
The user must be able to search, delete and export memory.
The user must be able to search, delete and export memory.
Encrypted transport and storage
Sensitive data cannot be treated as disposable demo content.
Sensitive data cannot be treated as disposable demo content.
Clear agent boundaries
Agents should only act inside approved workflows.
Agents should only act inside approved workflows.
Labs conclusion
AI Glasses show where agent interfaces are going.
The commercial layer remains Veritiana Answer Engine, Signal and SourceNote. AI Glasses belong in Labs because they prove the future interface: agents connected to real-world context.