Best multi-agent AI tools

Air is an agentic development environment from JetBrains that enables developers to delegate and run multiple AI coding agents (like Claude Agent, Codex, Gemini CLI, and Junie) in parallel within isolated workspaces. It focuses on the workflow around AI agents, providing precise task definition with code-aware context, isolated execution environments, and comprehensive review tools to manage concurrent coding tasks efficiently.

A no-code platform for building and deploying autonomous AI agent teams. Kodey enables users to visually create, orchestrate, and scale sophisticated AI agents for tasks like customer support, sales automation, and data analysis, integrating with thousands of business tools without writing any code.

Peargent is a modern, powerful Python framework designed for building intelligent, production-grade AI agents. It offers an intuitive API, flexible LLM support, multi-agent orchestration, and persistent memory, enabling developers to create scalable and robust AI solutions for real-world use.

Gpt All Star is an all-in-one AI platform providing access to a curated collection of specialized GPT agents. Select from a roster of 'all-star' assistants for tasks like writing, coding, marketing, and data analysis to get expert-level results from a single, user-friendly interface.

Joythee AI is an advanced conversational AI platform that allows you to chat with multiple AI agents simultaneously. Compare responses from various LLMs in a single interface, enjoy personalized conversations, and protect your privacy with an incognito mode. Ideal for individuals, teams, and enterprises seeking enhanced productivity and creativity.

Interacly is an open-source AI agent platform designed for creating, customizing, and collaborating with intelligent agents. It offers a mode-based environment, supports multiple AI models, features advanced tool-calling, and provides enterprise-grade security for both cloud and on-premise deployments.

OneSky is an advanced AI localization platform using a multi-agent system to deliver highly accurate translations for software, apps, and digital content. By leveraging multiple LLMs and role-specific AI agents (Translator, Reviewer, Editor), it mimics a human localization team to achieve up to 90% accuracy. It supports over 30 file formats, offers extensive context controls, and provides optional human post-editing, streamlining global expansion while significantly reducing costs.