AutoAgents and radkit

These two frameworks are competitors, as both aim to provide a multi-agent framework written in Rust for building and coordinating intelligent agents.

AutoAgents
62
Established
radkit
44
Emerging
Maintenance 10/25
Adoption 17/25
Maturity 16/25
Community 19/25
Maintenance 6/25
Adoption 13/25
Maturity 15/25
Community 10/25
Stars: 436
Forks: 60
Downloads: 704
Commits (30d): 0
Language: Rust
License: Apache-2.0
Stars: 55
Forks: 5
Downloads: 172
Commits (30d): 0
Language: Rust
License: MIT
No Package No Dependents
No Package No Dependents

About AutoAgents

liquidos-ai/AutoAgents

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

This is a framework for software engineers to build applications where multiple AI models collaborate on a task. It allows developers to define inputs for these AI 'agents', coordinate their communication, and receive structured outputs. The end-user is a software engineer or AI/ML engineer responsible for developing and deploying AI-powered systems.

AI-application-development multi-agent-systems intelligent-systems-engineering AI-orchestration production-AI

About radkit

agents-sh/radkit

Rust Agent Development Kit

This is a Rust SDK (Software Development Kit) designed for developers to build advanced AI agent systems that can communicate with each other using the A2A protocol. It provides a unified interface for various large language models (LLMs) like Anthropic, OpenAI, and Gemini, and manages conversational context, tool execution, and structured outputs. Developers who are building sophisticated, reliable AI applications in Rust will find this project useful.

AI-development Agent-systems Rust-programming LLM-integration Multi-agent-communication

Scores updated daily from GitHub, PyPI, and npm data. How scores work