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Battle of AI Agent Frameworks
Introduction
The rise of AI agent frameworks has enabled developers to build autonomous systems capable of completing complex tasks. From orchestrating workflows to simulating multi-agent collaboration, these frameworks are critical for developing intelligent applications. In this blog, we compare five leading AI agent frameworks: OpenAI Assistants, OpenAI Swarm, CrewAI, AutoGen, and LangGraph. Each has unique strengths and trade-offs that cater to specific use cases.
OpenAI Assistants
Overview
OpenAI Assistants is OpenAI’s framework designed to integrate AI capabilities into applications. It allows developers to create assistants that can manage tasks such as answering questions, document summarization, and knowledge-based workflows.
Key Concepts
- Assistant: The main agent performing tasks.
- Thread: Represents a conversation context.
- Message: An individual interaction within a thread.
- Thread Run: The execution of a specific task or workflow in a thread.
Key Features
- Tool Use: Supports tools like code execution, file uploads, and API calling.
- API-driven: Easy to integrate into various platforms.
- Multi-turn Conversations: Maintains context-aware, multi-turn conversations.
- Pre-Built Functions…