LibreChat and ChatALL

Both tools are AI chatbot interfaces that aim to provide a unified experience across multiple language models; LibreChat is a self-hostable full-featured clone with deep integration for various AI providers, while ChatALL is specifically designed to simultaneously query multiple existing chatbot services and compare their responses.

LibreChat
76
Verified
ChatALL
56
Established
Maintenance 25/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 34,605
Forks: 6,997
Downloads:
Commits (30d): 174
Language: TypeScript
License: MIT
Stars: 16,315
Forks: 1,717
Downloads:
Commits (30d): 0
Language: JavaScript
License: Apache-2.0
No Package No Dependents
No Package No Dependents

About LibreChat

danny-avila/LibreChat

Enhanced ChatGPT Clone: Features Agents, MCP, DeepSeek, Anthropic, AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, Code Interpreter, langchain, DALL-E-3, OpenAPI Actions, Functions, Secure Multi-User Auth, Presets, open-source for self-hosting. Active.

Builds on a Node.js/React stack with composable agent workflows via MCP servers for tool integration and function calling, enabling no-code assistant creation through a marketplace system. Supports resumable streaming with Redis-backed session persistence across multiple tabs and devices, ensuring responses reconnect automatically on network interruption. Implements sandboxed code execution across eight languages and integrates web search with customizable reranking, offering a unified conversation layer across 20+ AI providers through both official APIs and OpenAI-compatible custom endpoints.

About ChatALL

ai-shifu/ChatALL

Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers

Provides concurrent prompt execution across 40+ LLM backends with mixed web-scraping and API access, allowing developers to compare model outputs side-by-side for prompt optimization and capability benchmarking. Built as a desktop application (Electron-based) with local chat history storage, quick-prompt queueing to bypass sequential response waiting, and flexible view layouts from single to three-column displays. Supports both commercial APIs (OpenAI, Anthropic, Google) and open-source deployments (Hugging Face spaces, Gradio), with emphasis on web-connected bot reliability caveats due to frequent provider-side breaking changes.

Scores updated daily from GitHub, PyPI, and npm data. How scores work