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Bundle of eight AI tools (chat, search, image/video, chatbots, workflows) under one subscription and shared credits.
Online course platform teaching non-coders to build with AI tools like Cursor and Claude Code.
Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.
Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.
TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
Free trial available
Free trial available
No public pricing
Free trial available
- ✦Eight AI products in one account
- ✦Shared credit pool across tools
- ✦Multi-model AI chat (50+ models)
- ✦Image, video and motion generation
- ✦Chatbot builder (web and WhatsApp)
- ✦Visual AI workflow automation
- ✦Courses on AI code editors such as Cursor
- ✦Claude Code and full-stack AI development lessons
- ✦AI agents and automation training
- ✦App-building from idea to production
- ✦Prompt engineering instruction
- ✦Magic MCP and ongoing content updates
- ✦Spreadsheet interface inside Jupyter notebooks
- ✦AI-generated Python code from spreadsheet actions
- ✦Runs on customer infrastructure (no data sent to Mito)
- ✦Bring-your-own LLM API keys
- ✦Excel-to-Python conversion
- ✦Compatible with existing Jupyter extensions
- ✦500+ AI models at zero inference markup
- ✦Bring-your-own-keys and local model support
- ✦MIT-licensed, fully open source
- ✦Works in VS Code, JetBrains, CLI and cloud
- ✦Agent modes (Code, Architect)
- ✦Parallel isolated worktrees
- ✦Slack code reviewer and gateway
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
- →Consolidate multiple AI subscriptions
- →Generate content, images and video
- →Build and deploy chatbots
- →Automate AI workflows
- →Learn to code using AI assistants
- →Roll out AI tooling across an engineering team
- →Build and ship apps with no prior experience
- →Upskill in prompt engineering
- →Analysts automating Excel-style reports without hand-writing code
- →Data scientists speeding up exploratory data analysis
- →ML engineers iterating on feature engineering in notebooks
- →Enterprises needing private, self-hosted AI coding assistance
- →Writing and refactoring production code with AI
- →Planning features before implementation
- →Running agents across multiple IDEs and the CLI
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development