A Next.js application that enables chatting with any LangGraph server with a `messages` key through a chat interface.
One-Minute Overview#
Agent Chat UI is a Next.js application that enables chatting with any LangGraph server with a messages key through a chat interface. Whether you're a developer or business user, you can quickly deploy your own AI agent chat system.
Core Value: Provide a professional chat interface for LangGraph agents without writing complex UI code.
Quick Start#
Installation Difficulty: Medium - Requires environment variables and LangGraph server setup; production deployment requires additional configuration
# Quick app creation
npx create-agent-chat-app
# Or clone repository
git clone https://github.com/langchain-ai/agent-chat-ui.git
cd agent-chat-ui
# Install dependencies
# Run the app
Is this suitable for me?
- ✅ AI Application Development: Need a chat interface for LangGraph agents
- ✅ Enterprise Internal AI Assistants: Deploy an internal intelligent agent chat system
- ❌ Simple Chatbots: Need general chat functionality rather than LangGraph-specific solution
- ❌ Zero-Code Environment: Requires basic technical knowledge to configure environment variables
Core Capabilities#
1. Integration with Any LangGraph Agent - Seamless Backend Connection#
- Supports LangGraph agents implemented in both Python and TypeScript
- Simple URL connection configuration to communicate with agents Actual Value: Provides a unified interaction interface for various AI agents without developing separate UIs for each
2. Real-time Streaming Responses - Optimized User Experience#
- Supports real-time display of agent response processes
- Configurable message streaming display controls Actual Value: Provides ChatGPT-like real-time conversation experience, enhancing user perception of AI thinking process
3. Message Control and Privacy Protection - Flexible Information Display#
- Can prevent real-time streaming display of specific messages
- Can completely hide certain messages from users Actual Value: Allows developers to filter sensitive information or intermediate processing steps, protecting system privacy
4. Artifact Rendering Functionality - Rich Display Formats#
- Supports rendering special format content in a side panel next to the chat
- Can create interactive components to display complex information Actual Value: Goes beyond plain text chat to support displaying rich media content like code, charts, etc.
Technology Stack and Integration#
Development Language: TypeScript Main Dependencies: Next.js, React Integration Method: Connects to LangGraph servers via API, supports two authentication methods
Maintenance Status#
- Development Activity: Actively maintained by the LangChain team
- Recent Updates: Recently updated with production deployment guides
- Community Response: Part of the LangChain ecosystem with community support
Commercial and Licensing#
License: Not explicitly specified in README
- ✅ Commercial Use: Not explicitly restricted
- ✅ Modification: Not explicitly restricted
- ⚠️ Restrictions: Need to refer to the project repository for specific license information
Documentation and Learning Resources#
- Documentation Quality: Comprehensive - Covers installation, usage, environment variables, message control, artifact rendering, and production deployment
- Official Documentation: GitHub repository README
- Example Code: Includes Python and TypeScript configuration examples