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lss233/kirara-ai

★ 18,760PythonAudience · developerComplexity · 4/5QuietLicenseSetup · hard

TLDR

A Python framework that connects major AI models (OpenAI, Claude, DeepSeek) to Chinese and international chat platforms (WeChat, QQ, Telegram, Discord) with image generation, voice replies, and a visual dashboard.

Mindmap

mindmap
  root((Kirara AI))
    AI Models
      OpenAI
      Claude
      DeepSeek
      Qwen
    Chat Platforms
      WeChat
      QQ
      Telegram
      Discord
    Features
      Image generation
      Voice replies
      Custom personas
      Plugin marketplace
    Management
      Web dashboard
      Workflow builder
      Admin commands
      Conditional triggers
    Deployment
      Docker
      Python
      Multi-platform

Things people build with this

USE CASE 1

Deploy an AI chatbot across WeChat, QQ, and Telegram simultaneously without building separate integrations for each platform.

USE CASE 2

Create a multilingual customer support bot that generates images and sends voice messages in response to user queries.

USE CASE 3

Build a branded AI assistant with custom personas that can be managed and updated through a visual dashboard without code changes.

USE CASE 4

Set up conditional workflows and admin commands to automate responses and moderate conversations across multiple chat platforms.

Tech stack

PythonDockerOpenAI APIClaude APITelegram Bot APIWeChat API

Getting it running

Difficulty · hard Time to first run · 1day+

Requires API keys from multiple services (OpenAI/Claude/DeepSeek), WeChat/QQ/Telegram bot registration, Docker setup, and configuration of multiple platform integrations.

Use it freely, but if you run it as a network service, you must release your changes to users. Strongest copyleft for SaaS.

In plain English

Kirara AI is a customizable, multi-modal AI chatbot framework written in Python that lets you connect major AI language models to popular Chinese and international messaging platforms. The problem it solves is that setting up an AI assistant that actually works inside WeChat, QQ, Telegram, or Discord, complete with image generation, voice replies, and custom personas, requires connecting many different services, and Kirara AI packages all of that into one configurable system. On the AI model side, it supports OpenAI, DeepSeek, Claude, Gemini, Qwen, Mistral, Minimax, Kimi, and other major models. For image generation it supports Stable Diffusion, Flux, and Midjourney. For messaging platforms it supports Telegram, QQ bots, WeChat (both official accounts and enterprise WeChat), and Discord. It includes a web management dashboard where you can manage models, configure custom workflows (called work flows), install plugins from a marketplace, and set up conditional triggers and administrator commands. Personas (predefined character styles for the bot) can be loaded via a preset system. You would use this if you are building a Chinese or multilingual AI chatbot assistant that needs to operate across multiple chat platforms simultaneously, support voice and image capabilities, and be configured visually without editing code for every change. It is a Python project deployable via Docker.

Copy-paste prompts

Prompt 1
How do I set up Kirara AI to connect my OpenAI API key to a WeChat official account and deploy it with Docker?
Prompt 2
Show me how to create a custom persona in Kirara AI and apply it across all connected chat platforms at once.
Prompt 3
How do I install and configure a plugin from the Kirara AI marketplace to add image generation to my chatbot?
Prompt 4
Walk me through setting up conditional triggers and admin commands in Kirara AI to moderate conversations on Telegram and Discord.
Prompt 5
How do I configure Kirara AI to use multiple AI models (Claude and DeepSeek) and route different user requests to each one?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.