Start a session
Choose a provider and model, then describe what you want to explore, plan, compare, or understand.
ChatMiniApp turns every AI session into a living visual workspace. As the conversation develops, the workspace organizes the topic into familiar, interactive views you can return to without searching through a long transcript.
Conversation
Living mini-app
Kyoto weekend
3
neighborhoods
6
food stops
2
reservations
Low
daily pace
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Sessions and visual workspaces are private and saved to your account.
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One conversation, two useful views
Continue chatting naturally while ChatMiniApp keeps the durable, structured view of the topic beside you.
Choose a provider and model, then describe what you want to explore, plan, compare, or understand.
The conversation produces trusted visual blocks instead of executing arbitrary generated interface code.
Saved memory and visual state help the model resume with the important context already in place.
Built around your workflow
Connect leading AI providers, OpenRouter models, or a compatible endpoint without locking every conversation to one assistant.
Each session builds a focused mini-app with cards, timelines, comparisons, images, and other useful views for the topic.
Structured memory and the visual workspace preserve important facts, decisions, and open questions when you return.
Optionally connect read-only MCP tools for additional data, with explicit approval before a tool can run.
Frequently asked questions
ChatMiniApp is a multi-model AI chat app that turns each conversation into a persistent visual workspace. The workspace organizes useful information into interactive cards, checklists, timelines, tables, charts, and other trusted views.
You can connect supported providers such as OpenAI, OpenRouter, Anthropic, Google, DeepSeek, xAI, or an OpenAI-compatible endpoint, then choose the model for each conversation.
A regular chat leaves important information inside a long transcript. ChatMiniApp keeps the conversation and a living mini-app side by side, so plans, comparisons, decisions, and saved inputs remain easy to find and use.
Cloud provider credentials are encrypted before storage and are not returned to the browser after they are saved. You can also use a compatible local endpoint when you do not want prompts routed through ChatMiniApp cloud services.
Provider credentials are encrypted at rest. You decide which AI provider and optional MCP server a conversation uses. Tool calls require explicit confirmation, and visual interfaces are rendered from a constrained schema.