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Overview

Most AI tools answer questions. Mira executes tasks. The difference is infrastructure — and Mira’s is built from the ground up for autonomous action inside Telegram.

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Skills

With Skills, users automate work and daily routines — reminders, data pulls, recurring reports — and ask Mira to proactively run them on a schedule. Skills run in the most natural place for agent communication: Telegram. No dashboards, no cron jobs, no code. 
Every Monday at 9am, pull my GitHub issues and summarize them
Remind me to review the deck 1 hour before every meeting
Check my inbox daily and flag anything urgent

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Integrations

Through APIs and MCP integrations, Mira connects to:

Wallets

TON, USDT, on-chain actions

Notion

Pages, databases, docs

Calendar

Events, scheduling, reminders

Gmail

Read, send, search emails

GitHub

Repos, issues, pull requests

500+ more

Via Composio integration layer
Mira orchestrates tools, memory, and actions inside Telegram — so users never have to leave the chat.

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Interchangeable LLMs

Mira is model-agnostic. LLMs are interchangeable components:
ModelProvider
Claude Opus / SonnetAnthropic
GPT-4oOpenAI
Qwen3-32BAlibaba (via Cocoon)
GeminiGoogle
The right model is selected based on the task, user preference, or privacy requirements.

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Agent-to-Agent

Users can connect specialized agents to Mira for professional tasks and multi-step automations — chaining with external LLMs or domain-specific agents for complex workflows.
Agent-to-agent interaction enables Mira to delegate subtasks to specialized tools and return a unified result to the user.