Agency Swarm Can Now Create Your Agent Swarms for You

---

---

AI Summary

Summary: Introduction of Genesys Swarm

• Introduction of Genesys Swarm
  • A step towards self-expanding AI.
  • Agency Swarm framework allows creation of AI agents without coding.
  • Agents contributed to GitHub enhance the collective library.
• Demonstration
  • Demo of creating a Bitcoin investing agency with prompts.
  • Arsen’s goal: Automate AI agency with AI.
  • Agency Swarm orchestrates AI agents using OpenAI Assistance API.
• Agency Creation Process
  • Request for a Bitcoin investing agency.
  • CEO agent proposes structure, Agent Creator builds Market Analyzer.
  • Browsing agent searches for APIs, exports documentation for analysis.
  • OpenAPI creator generates schemas from documentation.
  • News Harvester agent gathers news, CEO compiles Bitcoin market analysis.
• Agency Testing and Running
  • API keys required for interaction with real APIs.
  • Agency tested with python-agency.py command.
  • Agency folder contains agents and OpenAPI schemas.
• Framework Updates
  • CI pipeline on GitHub for stability.
  • Agents can share files using message files parameter.
  • ToolFactory simplifies tool creation from OpenAPI schemas.
  • Genesis Agency consists of CEO, Agent Creator, OpenAPI Creator, and Browsing Agent.
• Testing the Framework

  • Steps to test include cloning the repo, setting up a virtual environment, installing Jupyter, and running the Genesis Agency Notebook.