HyperChat is an open-source AI chat framework designed for developers. It supports multiple language models, manages conversation memory, streams real-time responses, executes function calls, and integrates custom plugins. With flexible configuration and customizable UI components, it accelerates building intelligent chat interfaces across web and desktop platforms.
AI Platforms & Frameworks
#AI Framework
#conversational UI
#LLM Integration
#real-time chat
#plugin support
#Session Management
#streaming responses
#customizable components
#cross-platform development
#Open-source tools
#Developer Tools
#chatbots
#memory persistence
#user engagement
#API integration
#Rapid Prototyping
#software development
#interactive applications
#machine learning
#user experience
...
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HyperChat
HyperChat is an open-source AI chat framework designed for developers. It supports multiple language models, manages conversation memory, streams real-time responses, executes function calls, and integrates custom plugins. With flexible configuration and customizable UI components, it accelerates building intelligent chat interfaces across web and desktop platforms.
AI Platforms & Frameworks
#AI Framework
#conversational UI
#LLM Integration
#real-time chat
#plugin support
#Session Management
#streaming responses
#customizable components
#cross-platform development
#Open-source tools
#Developer Tools
#chatbots
#memory persistence
#user engagement
#API integration
#Rapid Prototyping
#software development
#interactive applications
#machine learning
#user experience
...
Featured
What is HyperChat?
HyperChat is a developer-centric AI agent framework that simplifies embedding conversational AI into applications. It unifies connections to various LLM providers, handles session context and memory persistence, and delivers streamed partial replies for responsive UIs. Built-in function calling and plugin support enable executing external APIs, enriching conversations with real-world data and actions. Its modular architecture and UI toolkit allow rapid prototyping and production-grade deployments across web, Electron, and Node.js environments.
Who will use HyperChat?
- Software developers
- AI researchers
- Product managers
- Technical leads
How to use the HyperChat?
- Step1: Install HyperChat via npm or yarn
- Step2: Import the HyperChat client and UI modules into your project
- Step3: Configure model providers, memory store, and plugin endpoints
- Step4: Initialize the chat component with API keys and settings
- Step5: Embed the chat UI and handle events in your application
- Step6: Customize prompts, functions, and UI themes as needed
Platform
- web
- mac
- windows
- linux
HyperChat's Core Features & Benefits
The Core Features
- Multi-model LLM integration
- Conversation memory management
- Streaming response support
- Function calling and plugin execution
- Customizable chat UI components
The Benefits
- Accelerates AI chat development
- Enhances user engagement with real-time streaming
- Offers extensible plugin ecosystem
- Ensures context-aware conversations
- Open-source and cross-platform
HyperChat's Main Use Cases & Applications
- Customer support chatbots
- In-app virtual assistants
- Interactive learning tutors
- Internal knowledge-base agents
- Prototyping conversational MVPs
FAQs of HyperChat
HyperChat Company Information
HyperChat Reviews
5/5
HyperChat's Main Competitors and alternatives?
- LangChain
- Botpress
- Rasa
- Microsoft Bot Framework
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