Overview

DeerFlow is an open-source, LangChain-based framework designed to build SuperAgents. It serves as a harness that enables the research, coding, and creation of tasks of varying complexity.

It utilizes sandboxes, which provide a secure, isolated environment for performing tasks, and memories to manage tasks that could range from minutes to hours.

The system uses subagents and tools to extend its functionalities. This agent framework can be employed in various practical applications including creating webpages, generating videos from novel scenes, explaining complex concepts through comic strips, data analysis, and summarizing podcasts.

DeerFlow loads agent skills progressively based on need, allowing for the extension of functionalities with user-specific skill files or with its built-in library.

It is also capable of long task running planning and sub-tasking, a feature that allows it to anticipate, reason through complexity and execute either sequentially or parallel.

This full-stack Super Agent is designed to offer flexibility and control to the user. It also supports a multi-model framework and presents an option to use a Persistent Sandbox with File System, thus allowing a user to read, write, and run commands just like on a real computer.

The community-driven framework encourages users to contribute innovative ideas to shape DeerFlow's future.

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Initial release

February 27, 2026

Initial release of DeerFlow.

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Organization ByteDance 🇨🇳 China

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Pros and Cons

Pros

Open-source platform

LangChain-based framework

Secured sandbox environment

Task management capabilities

Subagents extension

Versatile functionalities

Webpage creation capability

Video Generation

Comic Strip Production feature

Data Analysis feature

Podcast Summarizing capability

Dynamic skill loading

User control and flexibility

Long task planning

Sub-tasking feature

Parallel execution feature

Multi-model system compatibility

Built-in library availability

Persistent Sandbox with File System

Community-driven platform

Anticipates and reasons complexity

Adaptable to user-specific skills

Supports different task complexities

User-directed function extension

Case studies availability

Solves complex practical applications

Secure Docker-based sandbox

Agent skills extendable and progressive

Full-stack SuperAgent

Different execution models

Modular capability loading

Real computer-like functionalities

MIT License

Self-hosted tool

Community collaborative opportunities

Future-shaping innovative ideas

Read, write, run commands

Handles different levels of tasks

Visualizations and insights

Comprehensive report creation

Multi-model support

Extensible skills and tools

Built-in tools customization

Isolated Safe Persistent Mountable FS

Environment for agent runtime

View 40 more pros

Cons

Requires user-specific skill files

Overly complex task management

Sub-task operation unclear

Flexible, yet overwhelming control

Long task planning issues

Community-driven can be disorganized

Limited built-in library

Potential security issues sandbox

Only web-based functionality

Non-intuitive interface

View 5 more cons

Q&A

What is DeerFlow?

DeerFlow is an open-source, LangChain-based framework geared at creating SuperAgents. It functions as a harness that enables in-depth research, streamlined coding, and task creation of varying complexity. It is designed for flexibility and control, and supports a multi-model framework. The framework also provides a Persistent Sandbox with File System which allows users to interact with it as they would with a real computer.

How does DeerFlow use the LangChain-based framework?

As a framework built on LangChain, DeerFlow efficiently translates high-level programmatic constructs into tasks and manages these tasks effectively using sandboxes and memories. It employs subagents and tools to enhance its functionalities, allowing users to build innovative applications.

What are the main tasks DeerFlow can handle?

DeerFlow is designed to handle a wide range of tasks from creation of webpages, generating videos from novel scenes, explaining complex concepts through comic strips, detailed data analysis, to summarizing podcasts. Task duration managed by DeerFlow could range from minutes to hours.

Can DeerFlow function in secure and isolated environments?

Yes, DeerFlow can operate in secure and isolated environments. It utilizes what is known as sandboxes, which provide a secure, isolated environment for performing tasks. This offers increased security by keeping tasks and their associated data isolated from each other and from the main system.

How does DeerFlow manage tasks?

DeerFlow manages tasks using a feature it calls 'memories', this feature allows the system to manage tasks that could range from minutes to hours. DeerFlow is also capable of planning for long-run tasks and handling sub-tasking, equipped to anticipate and reason through complexity, executing sequentially or in parallel.

Can DeerFlow generate videos and create comic strips?

Yes, DeerFlow has capabilities to generate videos and create comic strips. One of its applications includes generating videos from novel scenes, and another is explaining complex concepts through cartoon strips, engaging users in a more visual and immersive way.

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How does DeerFlow assist in data analysis?

DeerFlow aids in data analysis by leveraging its unique agent skills which are loaded progressively. These skills can help analyze and digest large sets of data, providing valuable insights and visualizations. For example, one of the applications mentioned on their website explores the Titanic dataset, identifying key factors that influenced survival rates.

What does it mean to load agent skills progressively in DeerFlow?

In DeerFlow, loading agent skills progressively means that skills are loaded as and when they are needed. This eliminates unnecessary loading of resources and increases efficiency. DeerFlow extends its functionalities either by using user-specific skill files or its built-in library based on the specific need at a given time.

How can I add user-specific skill files to DeerFlow?

You can add your own skill files to DeerFlow to enhance its capabilities. This allows for customization based on your specific needs. You can extend DeerFlow using either your own skill files or by utilizing its built-in library.

Can DeerFlow execute tasks sequentially or in parallel?

Indeed, DeerFlow is capable of executing tasks both sequentially and in parallel. When handling a complex task, it plans ahead, reasons through the complexity, and then carries out the task in a sequential or parallel manner, depending on what is most efficient.

How do Persistent Sandbox and File System benefit me as a user of DeerFlow?

A Persistent Sandbox with File System in DeerFlow means you could interact with the system just like on a real computer. It facilitates the ability to read, write, and run commands. It offers an isolated, safe environment that can manage files, execute commands, and run long tasks.

How does DeerFlow encourage community contribution?

DeerFlow encourages community contribution by maintaining an open-source format and welcoming innovative ideas from users. As a community-driven framework, it opens the door for users to collaborate, innovate, and shape the future of the system.

What does it mean that DeerFlow is an open-source SuperAgent?

Being an open-source SuperAgent means DeerFlow's source code is freely available for modification or enhancement by anyone interested. As a SuperAgent, it delivers high-performing functionalities that enable deep research, code creation, and the management of varying complex tasks.

What practical applications can I use DeerFlow for?

DeerFlow can be employed for various practical applications including creating webpages, generating videos from novel scenes, creating comic strips to explain complex concepts, detailed data analysis, summarizing podcasts and even forecasting technology trends.

Can DeerFlow assist in webpage creation?

Yes, DeerFlow has the capability to assist in webpage creation. It is equipped with the necessary skills and tools to help users create, design and manage webpages effectively.

How does DeerFlow manage subagents and expand functionalities?

DeerFlow uses subagents and tools to broaden its functionalities. These subagents and tools allow the main agent to offload certain tasks, enhancing the overall efficiency and capability of the system. With the help of these, it can cater to a wider range of requirements and adapt to different use-cases.

Can DeerFlow summarize podcasts?

Yes, DeerFlow can summarize podcasts. For instance, it is mentioned that DeerFlow can collect all podcast appearances of a particular individual in the last six months and summarize them into a comprehensive report.

What kind of user control does DeerFlow offer?

DeerFlow is designed to offer the user maximum control and flexibility. This means that users have control over the tasks they run, the skills they load onto the agent, as well as their overall experience with the SuperAgent framework. Users can also read, write, and run commands just like on a real computer thanks to its Persistent Sandbox with File System.

How does DeerFlow plan for long tasks and handle sub-tasking?

DeerFlow is capable of long task running planning and sub-tasking. It anticipates and reasons through complexity, planning for tasks that span a long time. The tasks are then executed either sequentially or parallel depending on the most efficient course of action.

How can I participate in DeerFlow's Community-driven framework?

You can participate in DeerFlow's community by contributing brilliant ideas to shape the future of the system. The platform encourages collaboration, innovation, and impact from every user to drive the forward the evolution according to the community's needs.

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