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 code-free agent creation.
  • Agents shared on GitHub enhance the collective library.
• Demonstration
  • Arsen aims to automate AI agency with AI.
  • Agency Swarm orchestrates agents using OpenAI Assistance API.
  • Bitcoin investing agency created with prompts.
• Agency Creation Process
  • CEO agent defines structure, Agent Creator builds agents.
  • Market Analyzer agent created without pre-existing GitHub agents.
  • Browsing agent finds and exports Binance API documentation.
  • OpenAPI creator generates schemas from documentation.
  • News Harvester agent locates and analyzes news API.
  • Genesys CEO finalizes agency, instructs on running with python-agency.py.
• API Keys and Testing
  • API keys required for real API interactions.
  • API keys added to agents via API headers or params.
  • Agency tested with python-agency.py command.
• Agency Performance
  • Market Analyzer provides live Bitcoin prices.
  • News Harvester gathers recent news.
  • CEO compiles analysis, suggests potential Bitcoin investment.
• Framework Updates
  • CI pipeline on GitHub for stability.
  • Agents can share files using message files parameter.
  • ToolFactory simplifies tool creation from schemas.
  • Genesis Agency includes CEO, Agent Creator, OpenAPI Creator, and Browsing Agent.
• Testing the Framework
  • Steps to clone the repo, set up environment, and run Jupyter Notebook.
  • Contribution process outlined in [contributing.md].
  • Agents and tools categorized and structured for GitHub contributions.
• Conclusion
  • Open Source community’s potential to create AGI.
  • OpenAI’s models’ untapped potential.
  • Collective contributions could cover many jobs on earth.
  • Encouragement to subscribe and contribute to the project.