TechSetupGuides

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Community-curated setup guides for modern tech stacks.

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Complete setup guide for Microsoft AutoGen - a programming framework for creating multi-agent AI applications. Includes installation of core components (autogen-core, autogen-agentchat, autogen-ext), AutoGen Studio GUI, model integration with OpenAI/Azure/Ollama/Anthropic, MCP server support, code execution, and production deployment patterns.

Complete setup guide for Kubernetes - an open-source container orchestration platform for automating deployment, scaling, and management of containerized applications. Originally designed by Google, now maintained by the Cloud Native Computing Foundation (CNCF). Includes cluster setup, core concepts, deployment patterns, and production best practices.

Complete setup guide for Coze Studio - ByteDance's open-source all-in-one AI agent development platform. Create, debug, and deploy AI agents with visual no-code/low-code tools. Includes Docker installation, model configuration, workflow builder, RAG knowledge bases, and plugin development with React, TypeScript, Go, and microservices architecture.

Complete setup guide for CVAT (Computer Vision Annotation Tool) - a leading open-source platform for building high-quality visual datasets. Includes Docker deployment, PostgreSQL/Redis configuration, AI-assisted annotation with OpenVINO, and production HTTPS setup. Supports image, video, and 3D annotation with team collaboration features.

Complete setup guide for KrillinAI - an AI-powered video translation and dubbing tool that supports 100 languages. Includes installation for Windows/Linux/macOS, configuration of Whisper speech recognition, LLM translation, voice cloning with TTS, and Docker deployment options.

Set up DeerFlow 2.0, ByteDance's open-source long-horizon SuperAgent harness built on LangGraph and LangChain. Handle complex multi-step tasks with sandboxed execution, memory management, skills, and sub-agent orchestration.

Complete setup guide for AutoGPT - the autonomous AI agent platform that empowers everyone to build and deploy AI agents. Includes Docker-based installation, Python development environment, API configuration, and production deployment with FastAPI, Next.js, PostgreSQL, Redis, and RabbitMQ.