AgentOne is an AI agent that helps you get work done, not just talk about it. Give it a goal in plain English, and it can break the task into steps, use the right tools, gather information from connected apps, and work toward a finished result. Whether you're researching a topic, managing emails, updating documents, or coordinating across multiple services, AgentOne is designed to handle the busywork so you can focus on what matters.
With support for over 11,000 apps, services, and websites, AgentOne fits into the tools you already use. It can run multiple agents in parallel to tackle complex tasks faster, sync seamlessly across your devices, and work with hundreds of AI models using your own API keys. Privacy remains a core focus, with your data staying under your control and stored locally whenever possible.
Start for free with no credit card required, and experience a more capable, connected, and private approach to AI-powered automation.
A startup from the United States.
Extensibility
Over 11,000 built-in extensions
Agnostic AI
Works with over 60 built-in providers and 7500 AI models, supports adding more custom models
Synchronization
Sync your settings across devices with a free account, chats with a Pro account
Parallel Execution
Run multiple AI agents or subagents in parallel
Unlike other AI automation apps like Claude Cowork, AgentOne is provider-agnostic and free. This means it works with over 60 providers rather than keeping you locked in to using Claude models only. Plus, AgentOne has more features! Check out the docs for more info: https://docs.agent-one.dev/
AgentOne has more features and is much cheaper than competitors. It also works on Linux, while many competitors do not, and has deeper system integration.
AgentOne is designed for developers and non-developers alike. It's easy to use without any AI experience.
AgentOne.dev appears to be a niche or emerging platform in the AI agent space, but without verifiable, up-to-date information on its features, pricing, security practices, or user reviews, it's not possible to confidently assess its quality or reliability. Prospective users should conduct thorough due diligence before adopting it.
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