How to Build a Multi-Agent Research Assistant in Python

📰 Machine Learning Mastery

Learn to build a multi-agent research assistant in Python using the OpenAI Agents SDK, enhancing your AI development skills

intermediate Published 21 May 2026
Action Steps
  1. Install the OpenAI Agents SDK using pip
  2. Build a multi-agent system using the SDK's API
  3. Configure agents to perform research tasks
  4. Test the system with sample data
  5. Apply the system to real-world research scenarios
Who Needs to Know This

AI engineers and researchers on a team can benefit from building multi-agent systems to automate tasks and improve productivity, while also exploring new AI capabilities

Key Insight

💡 The OpenAI Agents SDK provides a powerful framework for building agentic AI applications, enabling developers to create complex multi-agent systems

Share This
🤖 Build a multi-agent research assistant in Python with OpenAI Agents SDK! 💻
Read full article → ← Back to Reads

Related Videos

How to Build Custom AI Agents
How to Build Custom AI Agents
AI Agents Podcast
How to Automate Content with AI Agents
How to Automate Content with AI Agents
AI Agents Podcast
AgentIQ Demo: From Plain-Language Prompt to Deployable FPGA System | CraftifAI
AgentIQ Demo: From Plain-Language Prompt to Deployable FPGA System | CraftifAI
CraftifAI
AI Agents: The Definitive Guide — Chapter 3: Advanced RL & Sequence Learning
AI Agents: The Definitive Guide — Chapter 3: Advanced RL & Sequence Learning
onepagecode
AI Agents: The Definitive Guide — Chapter 7: Production Deployment Strategy
AI Agents: The Definitive Guide — Chapter 7: Production Deployment Strategy
onepagecode
AI Agents: The Definitive Guide — Chapter 9: Customized & Advanced Evaluation
AI Agents: The Definitive Guide — Chapter 9: Customized & Advanced Evaluation
onepagecode