ИИ-агенты
openai-agents-js
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
★ 3,9 тыс. звёздMIT
Смотреть руководство →Swarm — проект с открытым исходным кодом из категории «ИИ-агенты» от openai (openai/swarm на GitHub). У него 22 080 звёзд на GitHub и 2 345 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 15 апреля 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
Enterprise-grade AI agent framework with multi-provider LLM management, secure knowledge bases and high-precision RAG, visual workflow orchestration, and mul…
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Swarm вам не подходит.
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Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к Swarm — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.