AutoAgent is a multi-agent orchestrator and natural language workflow builder designed to connect multiple large language models with external API tools. It provides a framework for designing multi-step agent interactions and reasoning processes using plain text instead of manual code.
The platform functions as a tool integration gateway, linking agents to third-party platforms and authenticated browser sessions. It enables the execution of complex analytical tasks and deep research by distributing work across collaborative agent frameworks and importing browser cookies to access restricted websites.
The system includes an agentic retrieval augmented generation framework that utilizes self-managing vector databases to retrieve and process documents. It further supports provider-agnostic model integration, allowing the system to switch between function-calling and reasoning-based logic execution across various local and cloud-based model providers.
