Agentes de IA
openai-agents-js
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
★ 3,9k estrellasMIT
Ver la guía →Swarm es un proyecto de agentes de IA de código abierto de openai (openai/swarm en GitHub). Tiene 22.080 estrellas en GitHub y 2.345 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 15 de abril de 2026.
Swarm — OpenAI's experimental framework for lightweight multi-agent orchestration with agents and handoffs, MIT
Swarm needs Python 3.10+ and installs directly from the repository.
Create agents with instructions and tools, and let one agent's function return another agent to hand the conversation over.
Start a client, run with an agent and messages, and read the final response.
Agents and handoffs express rich multi-agent dynamics without a heavy framework to learn.
Coordination stays explicit and controllable, so agent behaviour is easy to test and debug.
Agents call Python functions directly, and returning another agent is how handoffs work.
Streaming runs and evaluation helpers come with the framework, plus worked examples.
The README install route (HTTPS form).
pip install git+https://github.com/openai/swarm.gitThe README example: agent A hands off to agent B.
from swarm import Swarm, Agent
client = Swarm()
def transfer_to_agent_b():
return agent_b
agent_a = Agent(name="Agent A", instructions="You are a helpful agent.", functions=[transfer_to_agent_b])
agent_b = Agent(name="Agent B", instructions="Only speak in Haikus.")The README run call for the handoff example.
response = client.run(agent=agent_a, messages=[{"role": "user", "content": "I want to talk to agent B."}])
print(response.messages[-1]["content"])OpenAI, as an experimental, educational multi-agent framework.
Yes — MIT licensed.
No — OpenAI labels it experimental and educational. Use it to learn and prototype multi-agent patterns, not as a supported production platform.
Agents (instructions plus tools) and handoffs (one agent returning another to take over the conversation).
pip install from GitHub on Python 3.10+, define two agents with a handoff function, and run a conversation with the client.
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
A lightweight, powerful framework for multi-agent workflows
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
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A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Los demás proyectos de Agentes de IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si Swarm no es lo que buscas.
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Proyectos de Agentes de IA cercanos en el catálogo, los más próximos en estrellas a Swarm: sigue explorando a ambos lados.
Stanford's Generative Agents simulation - 25 AI characters living in a virtual town
Google's code-first toolkit for building real AI agents.
Yohei Nakajima's autonomous task agent - now a self-building agent framework in Python
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A self-improving agent for coding workflows and long-running autonomous tasks
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.