DeerFlow
Overview
Open-source super agent harness by ByteDance for long-horizon research, coding, and creation with sub-agents, memory, sandboxes, and skills.
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DeerFlow, from ByteDance, is an open-source long-horizon super agent harness for tasks such as research, coding, and content creation. The GitHub repository describes DeerFlow as orchestrating sub-agents, memory, sandboxes, tools, skills, and a message gateway to handle tasks that can take minutes to hours. DeerFlow 2.0 is a ground-up rewrite of the original Deep Research framework, with the earlier framework maintained on the 1.x branch. The project is distributed on GitHub under the MIT license.
Autonomy level
80%
Comparisons
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Some of the use cases of DeerFlow:
- Building long-horizon autonomous workflows
- Coordinating sub-agents for complex tasks
- Research automation and deep exploration workflows
- Coding and software task automation
- Experimenting with memory, sandboxes, tools, and extensible skills
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Popularity level: 68%
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