DeerFlow

DeerFlow is an open-source LangChain-based framework that researches, codes, and creates.

DeerFlow is a LangChain-based framework for building super agents that research, code, and create. It handles complex tasks taking minutes to hours using sandboxes, memories, tools, skills, and subagents. The system provides agents with a computer to execute commands, manage files, and run long tasks securely in a Docker-based sandbox. It supports tasks like forecasting 2026 agent trends, generating videos from novels, creating comic strips, analyzing datasets, conducting research from videos, and summarizing podcasts. It integrates an All-in-One Sandbox combining a browser, shell, file manager, MCP, and VSCode Server in a single Docker container.

DeerFlow at a glance

Best for: Software engineer, Researcher
Runs on: self-hosted, open source
Pricing: Free
Released: May 2025
Category: AI agent tool
Website: deerflow.tech

Key features

Docker-based sandbox execution
Command execution and file management
Long-horizon task handling
Memory and tool integration
Subagent coordination
All-in-One Sandbox with Browser, Shell, File, MCP and VSCode Server

Use it for

Forecast agent technology trends and opportunities
Generate videos and reference images based on novels
Create comic strips explaining complex architectures
Perform exploratory data analysis with visualizations
Collect and summarize podcast appearances and videos

Companions

Tools that articles about DeerFlow recommend using with it, each with its job.

LangChain — Built to work with LangChain.
LangGraph — Durable execution, checkpoints and human approval under create_agent.
LangSmith — Step-by-step traces and evals that show what an agent actually did
Pinecone — Managed retrieval for the fastest path to production.
Qdrant — Self-hosted vectors when cost or data residency matter.
Ollama — Fully self-hosted inference paired with Qdrant.

Alternatives to DeerFlow

Langflow — Builds and deploys AI agents visually with Python and major LLMs.
MLflow — Complete observability and evaluation for production AI apps.
cascadeflow — Reduces agent inference costs by up to 90% with sub-5ms overhead.
Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
OmniAgent — It evolves skills in real-time and dynamically hardens security during task execution.
OpenFlow — Build and run multi-agent AI pipelines on a visual canvas using real parallel agents.
Flowise — Modular building blocks and visual tools to build and scale agentic systems fast.
OpenSquilla — Maximizes AI intelligence density while minimizing token costs through smart routing.
CAMEL — Builds complex multi-agent societies for data generation and simulation.
Agent Squad — Runs multi-agent orchestration in Python, TypeScript, and locally on Apple devices.
BrowserOS — Runs entirely locally and lets AI agents use real user logins to complete tasks.
Raven — Provides a persistent, self-evolving environment for all-domain agent collaboration.

All DeerFlow alternatives