LangGraph
LangGraph as the standard for agent orchestration — nodes, edges, state, loops, human-in-the-loop and persistence explained clearly.
Martin Rau
Agent Frameworks
in AI Tools
Frameworks zum Bauen von Multi-Agenten-Systemen.
Glossary
AutoGen Agenten-Frameworks
AutoGen is an open-source framework from Microsoft for building multi-agent applications with LLMs. Several AI agents solve tasks together in structured conversations — for example group chats or asynchronous message passing.
CrewAI Agenten-Frameworks
CrewAI is an open-source framework for orchestrating multiple autonomous AI agents. It assigns agents roles, goals and tools and has them collaborate in teams ("crews") to solve complex tasks through coordinated, multi-step workflows.
LangGraph Agenten-Frameworks
LangGraph is an open-source framework from LangChain for stateful, graph-based LLM workflows — nodes are functions or agents, edges define the control flow including loops and branches.
Encyclopedia
Agent Frameworks at a Glance
CrewAI, AutoGen, AutoGPT, DSPy, Browser Use, LangGraph — what agent frameworks do, where they differ, and when to reach for which one.
Martin Rau
Microsoft Agent Framework
Microsoft's SDK for AI agents: how it merges Semantic Kernel and AutoGen, what separates agents from workflows, and when it's worth adopting.
Martin Rau
Microsoft Project Polaris
Microsoft's own AI coding model, unveiled at Build 2026. It replaces GPT-4 in GitHub Copilot from August 2026 — here is what it is.
Martin Rau
News
Meta Muse Spark 1.2: a coding model with 1M context, trained for agents
Meta released Muse Spark 1.2 — 1M-token context, co-trained with a code agent, with parallel tool calls and repository-level training.
Redaktion
Agent Orchestration 2026: LangGraph Becomes the Default, Microsoft Consolidates Onto One Framework
LangGraph overtakes CrewAI in stars, Microsoft Agent Framework 1.0 is GA. The framework market is reordering — what that means for your choice.
Redaktion