Agent Io — AI skill for Claude Code

Agent IO

[](https://crates.io/crates/agent-io) [](https://docs.rs/agent-io) [](https://opensource.org/license/apache-2-0) [](https://github.com/lispking/agent-io/actions?query=branch%3Amain) [](https://deepwiki.com/lispking/agent-io)

A Rust SDK for building AI agents with multi-provider LLM support.

Features

• Multi-provider LLM support: OpenAI, Anthropic, Google Gemini, and OpenAI-compatible providers
• Tool/Function calling: Built-in tool system — define tools with a simple #[tool] macro
• Streaming responses: Event-based real-time response handling
• Context compaction: Automatic management of long conversation context
• Token tracking: Usage tracking and cost calculation across providers
• Retry mechanism: Built-in exponential backoff retry for rate limit handling
• Memory system: In-memory memory by default, with optional LanceDB persistence via feature flag

Installation

[dependencies]
agent-io = { version = "0.3", features = ["openai"] }
tokio = { version = "1", features = ["full"] }

Enable `memory-lancedb` only if you need persistent vector-backed memory:

agent-io = { version = "0.3", features = ["openai", "memory-lancedb"] }

Quick Start

Basic Usage

use std::sync::Arc;
use agent_io::{Agent, llm::ChatOpenAI};

#[tokio::main]
async fn main() -> Result<(), Box> {
    let llm = ChatOpenAI::new("gpt-4o")?;
    let agent = Agent::builder()
        .with_llm(Arc::new(llm))
        .build()?;

    let response = agent.query("Hello!").await?;
    println!("{}", respons