MCP ExplorerExplorer

Hyperchat

@BigSweetPotatoStudioon 18 days ago
603 NOASSERTION
FreeCommunity
AI Systems
#chat-application#llm#mcp#modelcontextprotocol#agent#local-agent
HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

Overview

What is Hyperchat

HyperChat is an open-source chat client designed for openness, utilizing APIs from various LLMs to provide an optimal chat experience and productivity tools through the MCP protocol.

Use cases

Use cases for HyperChat include team collaboration, automated task management, educational tutoring, and real-time customer service interactions.

How to use

To use HyperChat, you can run it via command line with the command npx -y @dadigua/hyper-chat, access it through a web browser at http://localhost:16100/123456/, or use Docker with the command docker pull dadigua/hyperchat-mini:latest.

Key features

Key features of HyperChat include support for multiple operating systems (Windows, MacOS, Linux), command line operation, Docker compatibility, WebDAV synchronization, MCP extensions, dark mode, resource and prompt support, multi-conversation chatting, scheduled tasks, and model comparison in chat.

Where to use

HyperChat can be used in various fields including software development, customer support, education, and any area that requires efficient communication and productivity tools.

Content

中文 | English

Introduction

HyperChat is an open-source chat client that supports MCP and can use various LLM APIs to achieve the best chat experience, as well as implement productivity tools.

Build
@dadigua/hyper-chat
npm downloads

  • Supports OpenAI-style LLMs, OpenAI, Claude, Claude(OpenAI), Qwen, Deepseek, GLM, Ollama, xAI, Gemini.
  • Fully supports MCP.

DEMO

Features:

  • [x] 🪟Windows + 🍏MacOS + Linux
  • [x] Command-line run, npx -y @dadigua/hyper-chat, default port 16100, password 123456, Web access http://localhost:16100/123456/
  • [x] Docker
    • Command-line version docker pull dadigua/hyperchat-mini:latest
    • Ubuntu desktop + Chrome + BrowserUse version (coming soon)
  • [x] WebDAV supports incremental synchronization, fastest synchronization through hash.
  • [x] HyperPrompt prompt syntax supports variables (text + js code variables), basic syntax checking + Hover real-time preview.
  • [x] MCP extensions
  • [x] Supports dark mode🌙
  • [x] Resources, Prompts, Tools support
  • [x] Supports English and Chinese
  • [x] Supports Artifacts, SVG, HTML, Mermaid rendering
  • [x] Supports defining Agents, allowing preset prompts and selecting permitted MCP
  • [x] Supports scheduled tasks, specifying Agents to complete tasks on schedule, and viewing task completion status.
  • [x] Supports KaTeX, displays mathematical formulas, code rendering increases highlight and quick copy
  • [x] Added RAG, based on MCP knowledge base
  • [x] Introduced the ChatSpace concept, supports simultaneous chats across multiple dialogues
  • [x] Supports chat model selection comparison

TODO:

  • Implement multi-Agent interactive system.

LLM

LLM Usability Remarks
claude ⭐⭐⭐⭐⭐⭐ No explanation
openai ⭐⭐⭐⭐⭐ Also perfectly supports multi-step function calls (gpt-4o-mini can also)
gemini flash 2.5 ⭐⭐⭐⭐⭐ Very easy to use
qwen ⭐⭐⭐⭐ Quite useful
doubao ⭐⭐⭐ Feels okay to use
deepseek ⭐⭐⭐⭐ Recently improved

Usage

    1. Configure APIKEY, ensure your LLM service is compatible with OpenAI style.
    1. Ensure you have uv + nodejs etc. installed in your system.

uvx & uv

Install using the command line, or check the official GitHub tutorial uv

# MacOS
brew install uv
# Windows
winget install --id=astral-sh.uv  -e

npx & nodejs

Install using the command line, or go to the official website to download, official site nodejs

# MacOS
brew install node
# Windows
winget install OpenJS.NodeJS.LTS

Development

cd electron && npm install
cd web && npm install
npm install
npm run dev

HyperChat User Communication

Super input, supports variables (text + js code variables), basic syntax checking + Hover real-time preview

动画

Chat supports model selection comparison

image_2025-04-07_21-26-19
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Supports clicking tool names for direct debugging

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MCP calling Tool prompts + dynamically modifying LLM calling Tool parameters

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Supports @ quick input + calling Agent

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Supports rendering Artifacts, SVG, HTML, Mermaid

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Supports MCP selection + selecting partial Tool

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You can access from anywhere and any device via the web, and set a password

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Calls terminal MCP to automatically analyze asar files + helps me unzip

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Calls terminal, compiles and upgrades nginx

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Gaode Map MCP

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One-click webpage creation, and publish to (cloudflare)

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Calls Google search, asks what the TGA Game of the Year is

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What are the limited-time free games? Please visit the website to call the tool

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Opens a webpage for you, analyzes the results, and writes to a file

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Through web tools + command line tools, opens GitHub README to learn + GIT clone + set up development environment

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Multi-chat Workspace + Night Mode

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Scheduled task list + schedules messages to be sent to Agent to complete tasks

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Install MCP from third parties (supports any MCP)

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H5 interface

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Testing model capabilities

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Knowledge base

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Disclaimer

  • This project is for learning and communication purposes only. If you use this project for any operations, such as crawling behavior, it has nothing to do with the developers of this project.

Tools

No tools

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