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.
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KI-Werkzeuge
Tools, Editoren und Runtimes für die Arbeit mit Künstlicher Intelligenz.
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AI Coding Tools Compared
Cursor, Windsurf, Claude Code, GitHub Copilot, Continue.dev, Aider compared. With table and decision guide for four typical developer workflows.
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Google Antigravity
Google's agent-first dev suite of desktop app, CLI and SDK. How Antigravity works, what it replaces from Gemini CLI, and how it competes with Claude Code.
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LangGraph
LangGraph as the standard for agent orchestration — nodes, edges, state, loops, human-in-the-loop and persistence explained clearly.
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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.
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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.
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Pipeline Frameworks — LangChain, LlamaIndex and when you actually need them
LangChain, LlamaIndex, LangGraph and Haystack compared. What they're built for, when rolling your own pays off — and the criticisms worth taking seriously.
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Running LLMs locally — hardware, tools, models
How to run language models on your own hardware — VRAM requirements, tooling (Ollama, LM Studio, llama.cpp, vLLM) and which models fit which GPU.
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Self-Hosted Agent Stack (n8n, Dify, Ollama)
n8n, Dify and Ollama as a self-hosted AI stack — who does which layer, when it pays off and what hardware you actually need.
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The Hugging Face Ecosystem
Hub, Spaces and the Transformers, Datasets, Diffusers and Accelerate libraries — how they fit together and how the path to deployment works.
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Vector Databases Compared
What vector databases do, when you need one, and how Chroma, Weaviate, Milvus, Qdrant and pgvector stack up against each other.
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