bytedance/deer-flow

Health v2 · maintenance only

Adoption not part of the score

80958 stars · 11142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

DeerFlow is an open-source SuperAgent harness from ByteDance that orchestrates a lead agent with sub-agents, memory, tools, skills, and Docker-based sandboxes to handle long-horizon research, coding, and content-creation tasks. It consists of a core runtime SDK (Harness) plus a reference application layer for deployment and end-user workflows.

Use cases

• run deep research reports on any topic
• build a multi-agent system with memory and subagents
• execute long-running coding tasks in a sandboxed environment
• generate podcasts or videos from research
• automate multi-step agentic workflows that take minutes to hours
• extend an agent with custom skills and MCP tools
• self-host an AI agent workspace with a web UI

When to choose

• you need a full agent harness with sandboxes, memory, and subagent orchestration out of the box
• you want deep research plus code execution and content generation in one system
• you want an MIT-licensed, self-hostable agent framework with an optional reference app
• you want to extend agent capabilities via skills and MCP integrations

When to avoid

• you need a lightweight single-agent chatbot without orchestration overhead
• you want a fully managed cloud agent service rather than self-hosting
• your stack cannot run Python 3.12+ and Node.js 22+ together
• you need a simple deep-research-only tool and prefer the lighter 1.x branch

Facets

framework · maturity active

agent-framework rag llm-inference web-scraping chatbot mcp sdk artificial-intelligence large-language-models developer-tools python self-hosted cross-platform superagent deep-research multi-agent langgraph langchain agent-harness sandboxed-code-execution subagents agent-memory skills podcast-generation ai-agents retrieval-augmented-generation natural-language-processing nodejs docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bytedance/deer-flow")