Compare AG2 vs. DeskFerry in 2026

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Description

AG2 is an open-source AgentOS that enables the rapid development of production-ready AI agents and multi-agent systems in a matter of minutes rather than months. Previously known as AutoGen, it offers a Python framework for constructing, managing, and scaling AI agents that can effectively collaborate through a shared context while utilizing tools, executing workflows, and accommodating both autonomous and human-in-the-loop processes. This platform is specifically tailored for developers focused on creating systems rather than just prompts, featuring user-friendly syntax, integrated conversation patterns, and a versatile infrastructure for multi-agent automation. In AG2, agents can enhance their functionalities through various tools, enabling them to connect with external systems, retrieve real-time information, run code, conduct web searches, process documents, and tackle intricate tasks that exceed a model's inherent knowledge. The framework is compatible with a wide range of large language model (LLM) providers and local models, such as OpenAI-compatible endpoints, Anthropic Claude, Gemini via Vertex AI, DeepSeek, and LM Studio, making it a flexible choice for developers. By streamlining the development process, AG2 significantly accelerates the innovation of AI solutions across various applications.

Description

DeskFerry serves as an intuitive platform designed for assembling an AI team simply by articulating your needs in everyday language. It generates AI agents that can seamlessly integrate with the tools your team is already familiar with, facilitating automated tasks across over 1,500 applications without the necessity of coding. These agents possess the capability to read, write, and interact with various services, including Gmail, Slack, Notion, Salesforce, HubSpot, Jira, and Stripe, among others, while users have the option to select from a variety of AI models provided by OpenAI, Anthropic, Google, xAI, and more. Teams can customize agent skills to align with their brand voice, create branded materials, and organize outputs in appropriate tools and formats. Additionally, the platform features scheduling and trigger functions that support automations running on an hourly, daily, or weekly basis, or in response to events within connected applications. To enhance security and oversight, human-in-the-loop mechanisms can be implemented, requiring approval prior to the execution of significant actions, such as sending emails or updating records. Users can enrich the platform's knowledge base by incorporating documents, databases, and URLs, while a memory feature enables automations to remember previous interactions and preferences over time, ensuring a more personalized user experience. This combination of functionality and ease of use makes DeskFerry a valuable asset for teams looking to leverage AI in their workflows.