OpenAI Agent Swarm is a modular framework designed to streamline the coordination of multiple GPT-powered agents across diverse tasks. Each agent operates independently with customizable prompts and role definitions, while the Swarm core manages agent lifecycle, message passing, and task scheduling. The platform includes tools for defining complex workflows, monitoring agent interactions in real time, and aggregating results into coherent outputs. By distributing workloads across specialized agents, users can tackle complex problem-solving scenarios, from content generation and research analysis to automated debugging and data summarization. OpenAI Agent Swarm integrates seamlessly with the OpenAI API, allowing developers to rapidly deploy multi-agent systems without building orchestration infrastructure from scratch.

Bespoke Curator is an AI-driven orchestration framework that allows users to spin up multiple specialized agents with defined roles—researcher, analyzer, summarizer—to autonomously gather information, process documents, and deliver structured outputs. Built-in integrations with web browsing, APIs, and shared memory storage let agents communicate and iterate on tasks. Users configure data sources, specify extraction rules, and set performance metrics. The platform’s dashboards track agent progress, enabling real-time adjustments and exporting of final reports, insights, or summaries for business intelligence, academic reviews, and content strategy workflows.