Frameworks für Content-Generation-Agenten

Blog-Posts, Ad-Copy, Social-Threads mit einem Multi-Agent-Team: Researcher → Writer → Editor → Publisher.

Top 8 Frameworks für diesen Use-Case

Bewertet nach AGI Readiness Score (Autonomie · Multimodalität · Production).

1. 01

   AutoGen

   18AGI

   Konversationsbasierte Agenten von Microsoft

   Forschung, Code-Agenten und experimentelle Multi-Agent-Setups.

   Details 60,385 ★MITKurator-Pick
2. 02

   CrewAI

   18AGI

   Rollenbasierte Multi-Agenten-Orchestrierung

   Teams, die schnell ein funktionierendes Multi-Agenten-Setup brauchen.

   Details 56,953 ★MITKurator-Pick
3. 03

   LangGraph

   18AGI

   Stateful Agenten als Graph-Workflows

   Produktions-Workloads, bei denen Determinismus zählt.

   Details 39,516 ★MITKurator-Pick
4. 04

   Magentic-One

   4AGI

   Microsoft's generalist multi-agent system.

   Generalist task-solving agents

   Details 60,385 ★MIT
5. 05

   AgentScope

   4AGI

   Alibaba's multi-agent platform with visual studio.

   Distributed agent systems

   Details 28,868 ★Apache-2.0
6. 06

   Swarms

   4AGI

   Production multi-agent orchestration.

   Multi-agent production workflows

   Details 7,043 ★Apache-2.0
7. 07

   MetaGPT

   3AGI

   Multi-agent software company in a box.

   Autonomous software pipelines

   Details 69,787 ★MIT
8. 08

   Camel-AI

   3AGI

   Communicative agent research framework.

   Agent research and simulations

   Details 17,574 ★Apache-2.0

crew = Crew(agents=[Researcher(), Writer(), Editor()], process=Process.sequential)
article = crew.kickoff({"topic": "AGI readiness"})