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FinClip ChatKit

FinClip ChatKit

Stop building chat UIs from scratch. The complete toolkit for building native AI-powered chat applications on mobile apps.

简体中文 | English

Building the intelligence for your AI agent is hard enough. Don't waste weeks fighting with list views, keyboard handling, and message bubbles. ChatKit gives you a production-ready chat interface that feels 100% native, right out of the box.


🚀 Get Started in 5 Minutes

We know you want to see code running. Choose your path:

🍎 For iOS Developers

🤖 For Android Developers


🏗 What Can You Build?

ChatKit is designed to scale from simple embedded widgets to full-blown AI assistants.

1. Embedded Context-Aware Copilots

Don't force users to leave their current task to get help. Embed ChatKit as a mini-program overlay or a floating entry directly within your existing workflows (e.g., stock charts, dashboards).

  • Context Injection: Automatically pass the current screen's data to the LLM. The agent "sees" what the user sees. Learn more
  • Non-intrusive: Users summon the agent for specific tasks and dismiss it immediately. Component Embedding Guide

2. Vertical Expert Agents

Build independent, professional-grade AI assistants (like Project Samantha) capable of handling complex domain logic.

  • Generative UI: Render complex financial tables, forms, or interactive charts dynamically using MCP-UI / MCP Apps, AG-UI, or A2UI protocols. Protocol Support
  • One-Shot Execution: Turn natural language (e.g., "Buy 100 shares of AAPL") into secure, sandboxed actions immediately—bypassing deep menus. Architecture Overview

3. Hybrid Human-AI Workflows

Don't leave users stranded when the AI hits a limit.

  • Seamless Handoff: Automatically route high-stakes or complex intent to human agents without losing conversation context.
  • Huddle Mode: Enable a unique three-way collaboration (User + AI + Human) where the AI acts as a copilot for the human advisor.

💡 Why ChatKit?

Context is King. Generic chatbots fail because they don't know who the user is. ChatKit connects the dots.

Context Aware vs Generic
  • Frictionless: No need to ask "Where are you?". The SDK already knows. Context Providers Guide
  • Proactive: Trigger actions based on location, time, or battery status. Overview

💡 Why Developers Love ChatKit

We fit your workflow, whether you need speed or control.

🏎️ Ship Fast (High-Level APIs): Need a chat screen now? Components like ChatKitConversationViewController handle lifecycle and UI rendering for you. Read Guide

🛠️ Full Control (Low-Level APIs): Need custom layouts? Drop down to direct runtime access and manual UI binding. Read Guide

🧩 Make It Yours (Providers): Inject Location, Calendar events, or custom data directly into the LLM context. Context Providers Guide


🧪 Example Apps

Clone the repo and run these demos to see ChatKit in action.

📖 For complete instructions: See Running Demos for detailed setup and troubleshooting.

Simple (Swift)

Location: demo-apps/iOS/Simple/
Demonstrates high-level APIs, drawer navigation, and standard build tooling.

cd demo-apps/iOS/Simple
make run

See: Simple README

SimpleObjC (Objective-C)

Location: demo-apps/iOS/SimpleObjC/
Demonstrates Objective-C integration and legacy support.

cd demo-apps/iOS/SimpleObjC
make run

See: SimpleObjC README

Android Examples

Location: demo-apps/Android/
A complete demo app with multiple scenarios.

cd demo-apps/Android
make run

See: Android Examples | README | 中文


📚 Documentation Index

Overview & Getting Started

  • Overview - Complete introduction to ChatKit: features, protocols, and capabilities
  • Getting Started - Language-specific quick starts (Swift & Objective-C)
  • Quick Start - Minimal skeleton code (5 minutes)

Core Guides

Advanced Concepts

Setup & Tools

➡️ Full index: docs/README.md


🤝 Contributing & Support


Made with ❤️ by the FinClip team

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Embeddable AI Chat SDK supporting mcp-ui and OpenAI Apps SDK generated UI

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