AI conversations that become useful visual apps

Don't just chat.Visualize the conversation.

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.

Choose your AIPersistent sessionsDynamic visual workspace
Weekend in Kyoto

Conversation

Plan a quiet food-focused weekend in Kyoto.
I'll balance neighborhood walks, markets, and reservations.

Living mini-app

Kyoto weekend

Updated now

3

neighborhoods

6

food stops

2

reservations

Low

daily pace

SaturdayNishiki → Gion

Start your workspace

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Your conversations, organized visually

Sessions and visual workspaces are private and saved to your account.

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One conversation, two useful views

The answer is only the beginning

Continue chatting naturally while ChatMiniApp keeps the durable, structured view of the topic beside you.

01

Start a session

Choose a provider and model, then describe what you want to explore, plan, compare, or understand.

02

Watch the workspace form

The conversation produces trusted visual blocks instead of executing arbitrary generated interface code.

03

Return and keep building

Saved memory and visual state help the model resume with the important context already in place.

Built around your workflow

Your AI, with a better way to remember

Chat with the model you choose

Connect leading AI providers, OpenRouter models, or a compatible endpoint without locking every conversation to one assistant.

Turn discussion into an interface

Each session builds a focused mini-app with cards, timelines, comparisons, images, and other useful views for the topic.

Keep context without the scroll

Structured memory and the visual workspace preserve important facts, decisions, and open questions when you return.

Bring in trusted tools

Optionally connect read-only MCP tools for additional data, with explicit approval before a tool can run.

Designed for private, user-controlled sessions

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.

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