Swarm focuses on making agent coordination and execution lightweight, highly controllable, and easily testable. It accomplishes this through two primitive abstractions; Agents and handoffs. An Agent encompasses instructions and tools, and can at any point choose to hand off a conversation to another Agent. These primitives are powerful enough to express rich dynamics between tools and networks of agents, allowing you to build scalable, real-world solutions while avoiding a steep learning curve.

Features

  • Swarm explores patterns that are lightweight, scalable, and highly customizable by design
  • Approaches similar to Swarm are best suited for situations dealing with a large number of independent capabilities and instructions
  • The Assistants API is a great option for developers looking for fully-hosted threads and built in memory management and retrieval
  • Swarm is an educational resource for developers curious to learn about multi-agent orchestration
  • Swarm runs (almost) entirely on the client and, much like the Chat Completions API, does not store state between calls
  • Examples available

Project Samples

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License

MIT License

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User Reviews

  • Great framework for multi-agent orchestration
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Additional Project Details

Programming Language

Python

Related Categories

Python Agentic AI Tool, Python Multi-Agent Systems, Python Multi-Agent Frameworks

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6 days ago