# DeerFlow

> An open-source SuperAgent harness that researches, codes, and creates videos using sandboxes, memories, tools, skills, and subagents to handle complex multi-step tasks.

DeerFlow is an open-source SuperAgent harness built by ByteDance that combines deep research, code execution, and media generation into a single autonomous agent platform. It uses Docker-based sandboxes, long/short-term memory, and a modular skill system to handle tasks ranging from minutes to hours in duration. DeerFlow 2.0 evolves beyond a simple research agent into a full-stack Super Agent capable of planning, sub-tasking, and executing complex workflows sequentially or in parallel. With over 29,000 GitHub stars, it is self-hosted under the MIT License and supports multiple LLM backends.

- **Agent Skills System** — *Load skills progressively; extend DeerFlow with custom skill files or use the built-in library covering deep search, frontend design, deployment, and domain-specific knowledge.*
- **AIO Sandbox** — *Provides an isolated, Docker-based All-in-One Sandbox combining Browser, Shell, File, MCP, and VSCode Server for safe and persistent code execution.*
- **Long/Short-term Memory** — *Context engineering enables the agent to remember user preferences and prior context across sessions for more personalized and coherent task execution.*
- **Planning and Sub-tasking** — *The agent plans ahead, reasons through complexity, and executes tasks sequentially or in parallel using a structured sub-agent architecture.*
- **Video and Media Generation** — *Generate videos, images, and rich reports from research tasks, including scene-based video creation from literary sources.*
- **Multi-Model Support** — *Compatible with Doubao, DeepSeek, OpenAI, Gemini, and other LLM providers, giving users flexibility in model selection.*
- **Deep Research** — *Conducts comprehensive web research, synthesizes findings, and produces structured reports with visualizations and insights.*
- **Open Source & Self-Hosted** — *Licensed under MIT, fully self-hostable with complete control over data and infrastructure; get started by cloning the repository and running the Docker-based setup.*

## Features
- SuperAgent harness with planning and sub-tasking
- Docker-based AIO Sandbox (Browser, Shell, File, MCP, VSCode)
- Long and short-term memory / context engineering
- Modular agent skills system
- Deep research and report generation
- Video and image generation
- Multi-model LLM support (Doubao, DeepSeek, OpenAI, Gemini)
- Exploratory data analysis with visualizations
- Self-hosted, MIT licensed
- MCP integration

## Integrations
OpenAI, DeepSeek, Gemini, Doubao, Docker, MCP, VSCode Server

## Platforms
WEB, API, VSC_EXTENSION, CLI

## Pricing
Open Source

## Version
2.0

## Links
- Website: https://deerflow.tech
- Documentation: https://github.com/bytedance/deer-flow
- Repository: https://github.com/bytedance/deer-flow
- EveryDev.ai: https://www.everydev.ai/tools/deerflow