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Изходен канал @clockstackwheels · Post #86 · 23.10

Несколько лет назад я писал (https://vk.com/wall463377_80667) о том, как организовал вещи, разделив их по коробкам с подписями. Сейчас вот шагнули в этом направлении ещё дальше: по обеим стенам кладовки были пущены стеллажи во всю высоту, а ячейки сегментированы под нужное количество ящичков. Свято верю в то, что порядок вокруг человека способствует порядку у него в голове. #life

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@githubtrending · Post #15523 · 25.02.2026 г., 12:30

#typescript#agent#agentic#agentic_framework#agentic_workflow#ai#ai_agents#bytedance#deep_research#harness#langchain#langgraph#langmanus#llm#multi_agent#nodejs#podcast#python#superagent#typescript DeerFlow 2.0 is an open-source super agent harness that orchestrates multiple sub-agents, memory systems, and sandboxed execution environments to accomplish complex tasks. Built on LangGraph and LangChain, it combines research, coding, and content creation capabilities with extensible skills and tools. The platform features isolated Docker containers for safe execution, long-term memory that learns your preferences, and the ability to spawn sub-agents that work in parallel on different task angles. You benefit from dramatically reduced research and automation time—tasks that typically take hours complete in minutes—while maintaining full transparency and control over agent decisions through human-in-the-loop collaboration. Whether you need deep research reports, data analysis, slide decks, or custom workflows, DeerFlow handles multi-step complexity without requiring extensive coding knowledge. https://github.com/bytedance/deer-flow