Which LLMs are compatible with Dive?

Dive supports any LLM that supports function calling, including ChatGPT, Anthropic, Ollama, OpenAI-compatible models, Google Gemini, and Mistral AI.

What platforms does Dive support?

Dive is a cross-platform application available for Windows, MacOS, and Linux operating systems.

Dive is a desktop application that integrates Large Language Models (LLMs) with function calling capabilities, allowing you to build and run AI agents locally.

Does Dive automatically update?

Yes, Dive features an auto-update mechanism that automatically checks for and installs the latest application updates, keeping you up-to-date with the newest features and improvements.

What is Model Context Protocol (MCP) and how does Dive use it?

MCP enables seamless communication between Dive and your LLM, facilitating AI agent integration. Dive supports both stdio and SSE modes for MCP.

Dive

Name: Dive
Author: OpenAgentPlatform

byOpenAgentPlatform

•

1,757

•

Developer Tools

Other

Collaboration Tools

Integrates any LLM supporting function calling capabilities into a desktop application.

Dive is an open-source desktop application designed as an MCP (Model Context Protocol) host, providing a seamless interface for interacting with various Large Language Models (LLMs) that support function calling. It offers cross-platform compatibility (Windows, MacOS, and Linux), multi-language support, advanced API management, custom instructions for tailored AI behavior, and an auto-update mechanism. Dive enables users to leverage the power of LLMs within a user-friendly desktop environment, enhancing AI agent integration and workflow.

Key Features

01Advanced API Management: Multiple API keys and model switching support.

02Multi-Language Support: Traditional Chinese, Simplified Chinese, English, Spanish with more coming soon.

03Universal LLM Support: Compatible with ChatGPT, Anthropic, Ollama and OpenAI-compatible models.

04445 GitHub stars

05Cross-Platform: Available for Windows, MacOS, and Linux.

06Model Context Protocol: Enabling seamless MCP AI agent integration on both stdio and SSE mode.

Use Cases

01Enabling seamless integration of AI agents using the Model Context Protocol.

02Facilitating LLM interaction through a desktop application.

03Personalizing AI behavior through custom instructions.