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Overview

Unlike standalone AI apps, Mira operates within real conversations — across personal and group chats — retaining contextual and structured memory over time. This is Mira’s core defensible advantage: a social memory layer built inside Telegram’s existing social graph.

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Personal Memory

Mira remembers everything relevant about you:
  • Profile: name, location, occupation, timezone, language
  • Preferences: communication style, topics of interest, how you like answers formatted
  • Facts: anything you share — “I’m launching a startup”, “I prefer bullet points”
  • Context: ongoing projects, recurring tasks, past decisions
Memory persists across conversations and improves over time.

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Group Memory

In group chats, Mira retains shared context:
  • Summarizes long discussions on demand
  • Remembers decisions made by the group
  • Surfaces missed updates across chats and channels
  • Participates like a digital teammate — aware of who said what
Mira, what did we decide about the launch date?
Summarize what happened in this chat while I was away
What are the open action items from today's discussion?

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Network Effects

The more people use Mira together, the more valuable the network becomes. Anonymized, aggregated insights from group interactions create a defensible social intelligence layer — something no standalone AI app can replicate.
All aggregated insights are anonymized. Individual conversation data is never shared between users.
Mira helps users stay on top of their Telegram:
  • Surface missed updates across chats and channels
  • Instant retrieval from personal and group conversation history
  • AI-powered search — ask in natural language, get precise results
What did John send me last week about the contract?
Find the link to the Figma file from the design chat
What channels mentioned our product this week?