Chipper is a fully open-source React component library designed to simplify the creation of conversational interfaces powered by large language models. It offers real-time streaming of AI responses, built-in context and history management, support for multiple agents in a single chat, file attachments, and theme customization. Developers can integrate any LLM backend via simple props, extend with plugins, and style using CSS-in-JS for seamless branding and responsive layouts.
Chipper Core Features
Customizable React chat UI components
Real-time streaming of LLM responses
Multi-agent conversation support
Theme and layout customization
Message attachments and file uploads
Conversation history and context management
Chipper Pro & Cons
The Cons
No explicit pricing or commercial support information available.
No mobile or browser extension applications linked.
Limited direct user interface details or demo features provided on main page.
The Pros
Open source with accessible GitHub repository.
Integration with Haystack for automatic document processing.
Utilizes ElasticSearch embeddings for knowledge base creation.
Supports deployment with Docker Compose for ease of use.
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.
