AutoAgents
A production-grade multi-agent framework in Rust for building, deploying, and coordinating intelligent agents with LLMs.
What is AutoAgents?
AutoAgents is a production-grade multi-agent framework written in Rust that enables developers to build, deploy, and coordinate multiple intelligent agents. It provides a modular architecture with type-safe agent models, structured tool calling, configurable memory, and support for both cloud and local LLM backends. The framework solves the problem of creating scalable, performant, and safe AI agent systems for server and edge deployments.
Rust developers and engineers building intelligent multi-agent systems, AI researchers prototyping agentic workflows, and teams needing production-ready, self-hosted AI agent orchestration with local LLM support.
Developers choose AutoAgents for its Rust-based performance and safety guarantees, modular design supporting extensive customization, and unified interface for numerous LLM providers. Its focus on observability, guardrails, and multi-agent coordination makes it suitable for building reliable, scalable agentic applications.
Overview
A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents
Use Cases
Best For
- Building scalable multi-agent systems with typed communication
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