ByteDance's open-source super agent harness that runs sub-agents, memory and sandboxes for long-horizon tasks.
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DeerFlow (Deep Exploration and Efficient Research Flow) is an open-source agent harness from ByteDance. Version 2.0 is a ground-up rewrite that shares no code with v1, which began as a Deep Research framework and is still maintained on the 1.x branch. It is built on LangGraph and LangChain.
It provides a runtime for agents with a filesystem, memory, extensible skills, sandbox-aware execution, tools, a message gateway, and the ability to plan and spawn sub-agents for multi-step work. Tasks can range from minutes to hours, covering research, coding and content creation such as slide decks, dashboards and data pipelines. It supports MCP servers and integrates with BytePlus's InfoQuest search and crawling toolset.
DeerFlow is self-hosted: users clone the repository, run an interactive setup (make setup), and start it via Docker or local development at localhost:2026. It needs the user's own model credentials. The README recommends Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5, and warns to read the security notice before exposing it beyond localhost.
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Open-source super agent harness from ByteDance orchestrating sub-agents, memory and sandboxes with extensible skills, aimed at long-horizon tasks running hours or days. Has about 74,000 stars.
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