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// summary
DeerFlow 2.0 is a comprehensive, ground-up rewrite of an open-source super agent framework designed to orchestrate sub-agents, memory, and sandboxes. It leverages extensible skills to perform complex tasks and supports integration with various messaging platforms for seamless interaction. The system is highly configurable, offering advanced features like multi-mode sandbox execution, observability via LangSmith or Langfuse, and support for multiple LLM providers.
// use cases
01
Orchestrating complex workflows using sub-agents, memory, and sandboxes.
02
Integrating with messaging platforms like Slack, Telegram, Feishu, and WeCom for task management.
03
Building data pipelines and automated research tasks using extensible skills and intelligent search tools.