ByteDance's DeerFlow Open-Source Agent Framework Tops GitHub Trending After v2 Launch

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DeerFlow, an open-source multi-agent orchestration framework developed by ByteDance, reached the number one spot on GitHub Trending around February 28, 2026, following the release of its second major version. The framework, whose name stands for Deep Exploration and Efficient Research Flow, is designed to coordinate multiple AI sub-agents, manage memory, and provide secure sandboxed execution environments. It supports local, Docker, and Kubernetes-based sandbox modes, giving developers control over how agent-generated code is run safely. DeerFlow also features an extensible skills system that allows developers to integrate custom tools, APIs, and capabilities into their agent workflows. The framework aims to simplify the complexity of building advanced multi-agent AI applications by providing a structured, modular infrastructure for orchestration.

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