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