PraisonAI Core - High-performance, agentic AI framework for Rust

This crate provides the core functionality for building AI agents and multi-agent workflows.

Quick Start

use praisonai::{Agent, tool};

#[tool(description = "Search the web")]
async fn search(query: String) -> String {
    format!("Results for: {}", query)
}

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    let agent = Agent::new()
        .instructions("You are a helpful assistant")
        .build();
    
    let response = agent.chat("Hello!").await?;
    println!("{}", response);
    Ok(())
}

Architecture

PraisonAI follows an agent-centric design with these core components:

• Agent: The core execution unit that processes prompts and uses tools
• Tool: Functions that agents can call to perform actions
• AgentTeam: Coordinates multiple agents for complex workflows
• AgentFlow: Defines workflow patterns (sequential, parallel, etc.)
• Memory: Persists conversation history and context

Design Principles

• Agent-Centric: Every design decision centers on Agents
• Protocol-Driven: Traits define contracts, implementations are pluggable
• Minimal API: Fewer parameters, sensible defaults
• Performance-First: Lazy loading, optional dependencies
• Async-Safe: All I/O operations are async