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Изходен канал @clockstackwheels · Post #195 · 30.01

Вот и омикрон, сегодня подтвердился тест. Впрочем, болезнь течёт настолько легче первого раза, что, если это из-за вакцины, то оно совершенно точно того стоило. В первый раз я выпал из жизни на две недели. Сейчас на два дня. С понедельника смогу работать даже. Но встречи со мной не планируйте пока. #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