Memory
Mira operates within real conversations — across personal and group chats — retaining contextual and structured memory over time. This is Mira’s core defensive advantage: a social memory layer built inside Telegram’s existing social graph.How Memory Works
Mira builds memory on three levels:1. Personal Memory (Private)
Everything you share in 1-on-1 chats with Mira stays strictly private. Mira remembers:- Profile: name, location, occupation, timezone, language
- Preferences: communication style, topics of interest, answer format
- Facts: anything you share — “I’m launching a startup”, “I prefer bullet points”
- Context: ongoing projects, recurring tasks, past decisions
2. Group Memory (Shared)
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
3. Amortized Memory
Mira uses amortization to manage memory efficiently:- Older conversations are compressed into summaries, preserving key facts without storing every word
- Active topics and recent context are kept in full detail
- This means Mira remembers what matters, without requiring infinite storage — and without degrading response quality over time
Privacy Architecture
Mira is designed with strict privacy boundaries:What This Means in Practice
- If you tell Mira in a private chat that you’re allergic to shellfish, it will never mention that in a group chat when someone asks for restaurant recommendations.
- If a group decides on a launch date, Mira will not bring that up in another group or in your private chat unless you ask.
- Your communication style preferences (e.g., “I like short answers”) only affect how Mira responds to you, not how it responds to others.
AI-Powered Recall
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
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.

