KI-Agenten
Langchain
The agent engineering platform
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Anleitung ansehen →Openai Agents Python ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von openai (openai/openai-agents-python auf GitHub). Es hat 29.824 Sterne auf GitHub und 4.840 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
A lightweight, powerful framework for multi-agent workflows
Application frameworks, agent runtimes, or voice stacks — choose by whether you are building apps, automations, or realtime voice.
Python or TypeScript packages install with one command; most include quickstart templates.
Give the agent functions it can call and a memory layer so it stays coherent across sessions.
Launch the agent, watch its tool calls and reasoning traces, and iterate on prompts and tools.
Agents act on the world: APIs, databases, browsers, and shell commands.
Crews and graphs of specialized agents collaborating on complex tasks.
Short and long-term memory so agents improve across sessions.
Traces of every decision and tool call — essential for debugging.
Low-latency stacks for conversational voice agents.
Swap underlying LLMs without rewriting your agent logic.
Download the source and move into the project folder.
git clone https://github.com/openai/openai-agents-python.git
cd openai-agents-pythonIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtAlso on this shelf: semantic-kernel — Microsoft's SDK for weaving LLMs into real applications, fast. Also on this shelf: label-studio — the open-source studio for labeling data of every type. The AI Agents shelf also holds generative_agents — Stanford's Generative Agents simulation - 25 AI characters living in a virtual town.
Frameworks build your own; some repos here ship ready-made agents you can run directly.
Tool-calling quality matters more than raw size — strong mid-size models work well.
It is an open-source project at openai/openai-agents-python with 4,840 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Sandbox tool access, confirm destructive actions, and review traces — treat agents like junior employees with supervision.
Self-hosted frameworks are free; you pay only for model inference (local or API).
A quickstart template in the framework's docs — most get a first agent running in minutes.
The agent engineering platform
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work…
A programming framework for agentic AI
OpenAI's lightweight TypeScript framework for multi-agent workflows and voice agents.
Swarm — OpenAI's experimental framework for lightweight multi-agent orchestration with agents and handoffs, MIT
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 Openai Agents Python 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 Openai Agents Python bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
smolagents — Hugging Face's barebones agent library where agents think in code: a CodeAgent that writes its actions as Python, model-agnostic, Apache-2.0
Open-source search infrastructure built for AI workloads.
An autonomous research agent that plans, searches and writes cited reports from any data source
Alibaba's in-page GUI agent: control any web interface with natural language, from one script tag
The batteries-included agent harness from the LangChain team.
Apple's array framework for running ML efficiently on Apple silicon.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.