Documentation Index
Fetch the complete documentation index at: https://wiki.mira.tg/llms.txt
Use this file to discover all available pages before exploring further.
Personal Assistant
Mira builds structured memory, understands your preferences, and adapts over time. The more you use it, the more it feels like your own assistant — not a generic chatbot.- Remembers your name, role, goals, and preferences
- Adapts tone and format to how you like to communicate
- Proactively surfaces relevant information
- Runs recurring tasks on your behalf
Available in Any Chat
Users simply type@mira in any Telegram message field to activate the agent instantly — in personal chats, group chats, or channels.
No need to open a separate app or switch context.
Crypto-Native Layer
Mira operates directly with TON wallets, transactions, and real-time token data — enabling users to transact, monitor assets, and execute on-chain actions through conversation.Wallet Management
Check balances, send TON and Jettons, view transaction history
Token Swaps
Swap TON ↔ USDT and other tokens with quote preview
On-Chain Actions
Execute blockchain operations through natural language
Agent Sub-Wallet
Mira has its own sub-wallet for autonomous transactions with user-authorized limits
Business Management
Professionals can connect their Telegram Business account to Mira and delegate:- Inbound/outbound conversations — Mira handles messages on your behalf
- Lead qualification — filters and scores incoming inquiries
- Meeting booking — schedules via calendar integrations
- Follow-ups — sends timely follow-up messages automatically
- Team coordination — structured notes, action items, status updates
AI Creator Studio
Mira’s Creator Studio enables instant, high-quality content generation natively inside Telegram:Image Generation
Text-to-image with style control and aspect ratio selection
Video Generation
Text-to-video and image-to-video animation
Music & Voice
Songs, voice messages, text-to-speech
End-to-End Automation
Reference-based video, scheduled daily posting, dynamic model selection
Fun in Group Chats
Mira understands multi-user dynamics:- Retains shared context across the group
- Summarizes long discussions on demand
- Participates like a digital teammate
- Knows who said what and when
Agent-to-Agent
Users can connect specialized agents to Mira for professional tasks:- Chain with external LLMs for complex workflows
- Connect domain-specific agents (legal, finance, code review)
- Multi-step automations with structured outputs

