KI-Agenten
openai-agents-js
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
★ 3,9 Tsd. SterneMIT
Anleitung ansehen →Swarm ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von openai (openai/swarm auf GitHub). Es hat 22.080 Sterne auf GitHub und 2.345 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 15. April 2026 auf GitHub aktualisiert.
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.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Swarm nicht das Richtige ist.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die Swarm bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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
A visual all-in-one platform for building, debugging, and deploying AI agents.
Open-source LLM observability: trace, evaluate and monitor apps and agents
A self-improving agent for coding workflows and long-running autonomous tasks
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.