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Memory & Knowledge Graph

A personal Knowledge Graph built from your chats, files, meetings, and notes — searchable by every AI model, always growing, always learning.

The longer you use metir, the smarter it gets.

metir
Gmail
Google Drive
Google Calendar
Your Knowledge GraphActive

Context assembled from 4 sources for this conversation

Chat Memories5 matched
Document Chunks7 matched
Meeting Transcript1 matched
Knowledge Entities3 matched

All context injected into AI system prompt

Encrypted
Learn how it works...
Knowledge GraphIngestion PipelineSmart RetrievalCross-Model MemorySource AttributionPrivacy & Control

How Memory Works

1

Your Knowledge Graph

metir builds a personal Knowledge Graph from everything you interact with — chats, uploaded files, meeting transcripts, and notes. Every piece of information is indexed, connected, and searchable by AI.

Head of marketing at Series B startup

Extracted from 12 conversations

Prefers bullet-point style responses

Extracted from 8 conversations

Working on pricing page redesign

Extracted from 3 conversations

2

Ingestion Pipeline

When you upload a file, record a meeting, or write a note, metir automatically processes it through a multi-stage pipeline — chunking, embedding, entity extraction, and relationship mapping — so AI can find exactly what it needs.

1

Upload or Record

Drop files, record a meeting, or create a note

2

Chunk & Embed

Content is split into semantic chunks and vector-embedded for search

3

Extract Entities & Relationships

People, companies, concepts, and how they relate are mapped

4

Generate Summaries

Document, cluster, and project-level summaries are created

PDFs & Docs
Meeting Transcripts
Notes
Emails
Calendar Events
Chat History
3

Smart Retrieval

When you send a message, metir searches across all your knowledge sources in parallel — memories, document chunks, entities, relationships, and past conversations — then assembles only the most relevant context for AI.

Your message

“Help me prep for the board meeting”

Parallel search across all sources

Chat memories
Vector search
Keyword search
Entity lookup

Context assembled

Memory: Board meets quarterly, next is March 20
File: Q4 Revenue Report — revenue section (3 chunks)
Meeting: Last board meeting — retention metrics discussion
Entity: CEO wants international expansion plan
4

Cross-Model Memory

Your Knowledge Graph works across every AI model. Upload a file while chatting with one model, switch to another — it already has access to the same documents, memories, and context. No re-uploading, no re-explaining.

A
Model AYesterday

“Summarise the key findings from the Q4 report I uploaded”

Knowledge Graph updated: Q4 report indexed
Switch model
B
Model BToday

“Draft a board presentation based on Q4 results”

Already has access to Q4 report + your meeting notes
5

Source Attribution

Every AI response shows which sources were used — files, notes, meetings, and conversations. Click any source to jump directly to the original, so you can verify and explore further.

4 Sources
Q4 Revenue Report.pdfBoard prep notesQ4 Review MeetingPrevious conversation
6

Privacy & Control

Your Knowledge Graph is private, encrypted, and protected by row-level security. Use incognito mode to chat without any context, or manage exactly what's stored.

Encrypted Storage

All data encrypted at rest and in transit

Row-Level Security

Only you can access your data — enforced at the database level

Incognito Mode

Chat without any context — nothing is stored or retrieved

Full Control

View, delete, and manage your files, notes, and memories

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metir

AI That Knows Your Entire World

A Knowledge Graph built from your chats, files, meetings, and notes — powering every AI model you use.

metir

Agentic Operating System for Professionals buried in meetings, emails and docs.

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