Sponsored by Deepsite.site

Distri: A Composable Agent Framework

Created By
distrihub10 months ago
A framework for building and composing AI agents built in Rust. Build simply using YAML or rust-script. Leverage mcp-servers right away.
Content

Distri: A Composable Agent Framework

Distri is a framework for building and composing AI agents, written in Rust. It enables developers to create, publish, and combine agent capabilities using the MCP (Multi-Agent Communication Protocol) standard.

Distri Screenshot

Getting Started

Distri agents can be configured and run in two ways:

1. YAML Configuration

2. Rust Scripts (Advanced Workflows) Coming Soon

Lets explore running distri using a sample configuration file.

List Agents

distri list -c samples/config.yaml

Distri Agents

You can run github_explorer using:

distri run -c samples/config.yaml github_explorer

Installation

You can install Distri in two ways:

Using Cargo

cargo install --git https://github.com/distrihub/distri distri --locked

Using Docker

docker run -it distrihub/distri

MCP Proxy & Tools

Distri proxy also provides a convenient proxy to run stdio commands.

distri proxy -c samples/proxy.yaml

For looking at all the available tools

distri list-tools -c samples/config.yaml

MCPs available via proxy

AI Gateway

Distri is connected to AI Gateway and has access to 250+ LLMs. For more details checkout Langdb AI Gateway.

What is MCP?

MCP (Multi-Agent Communication Protocol) is a standardized protocol that enables agents to:

  • Communicate with each other in a structured way
  • Share capabilities and tools
  • Execute tasks collaboratively
  • Handle state management and coordination

With MCP, any agent can be published as a reusable tool that other agents can leverage, creating an ecosystem of composable AI capabilities.

Features

  • 🔧 Modular Design: Build agents as independent modules that can be mixed and matched
  • 🤝 MCP Protocol: Standardized communication between agents
  • 🚀 Rust Performance: Built with Rust for reliability and speed
  • 📦 Tool Publishing: Share your agents as MCP-compatible tools
  • 🔌 Easy Integration: Simple API for adding new capabilities

Configuration

Distri agents can be configured in two ways:

1. YAML Configuration

2. Rust Scripts (Advanced Workflows) Coming Soon

Status

⚠️ Early Development: Distri is in early stages of development. APIs and protocols may change as we gather feedback and improve the framework.

Getting Started

[Documentation and examples coming soon]

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Contributing

We welcome contributions! Please see our CONTRIBUTING.md guide for details.

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Tavily Mcp
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Serper MCP ServerA Serper MCP Server
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright McpPlaywright MCP server
Amap Maps高德地图官方 MCP Server
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
WindsurfThe new purpose-built IDE to harness magic
CursorThe AI Code Editor
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
DeepChatYour AI Partner on Desktop
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
ChatWiseThe second fastest AI chatbot™