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AgentAI

Rust library for simplified AI agent creation with built-in MCP integration and high-performance async capabilities.

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AgentAI Rust Library

AgentAI is a Rust library designed to simplify AI agent creation with built-in Model Context Protocol integration, leveraging Rust's performance and safety features for high-performance AI applications.

Key Features

  • Rust Performance: Leverages Rust's speed and memory safety
  • MCP Integration: Native MCP client capabilities built-in
  • Agent Framework: Simplified agent creation and management
  • Async Support: Full async/await support for concurrent operations
  • Type Safety: Compile-time guarantees for robust applications

Library Benefits

  • High Performance: Rust's zero-cost abstractions and performance
  • Memory Safety: Prevent common bugs with Rust's ownership system
  • Concurrent Processing: Efficient handling of multiple MCP connections
  • Easy Integration: Simple API for rapid agent development
  • Production Ready: Built for high-performance production environments

Installation

[dependencies]
agentai = "0.1"

Getting Started

use agentai::{Agent, MCPClient};

#[tokio::main]
async fn main() {
    let agent = Agent::new()
        .with_mcp_client(MCPClient::new("http://localhost:3000"))
        .build()
        .await;
    
    agent.run().await;
}

Use Cases

  • High-performance AI agent development
  • System-level AI applications
  • Concurrent MCP client implementations
  • Performance-critical AI workflows

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