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deerflow

About DeerFlow

Open-source SuperAgent harness from ByteDance that orchestrates sub-agents, long-term memory, extensible skills, and Docker-based sandboxes to execute complex, long-horizon tasks like deep research, coding, and content creation.

Key Capabilities

Docker/Kubernetes sandbox with persistent filesystem and bash execution

Hierarchical multi-agent orchestration with parallel sub-agents

Progressive Markdown-based skill loading with MCP server support

Model-agnostic: works with OpenAI, Claude, DeepSeek, Ollama, and more

Long-term and short-term memory for persistent context across sessions

Built-in observability via LangSmith and Langfuse integrations

Standout Features

Docker Sandbox

Agents get their own isolated computer with persistent filesystem, bash execution, and browser access.

Sub-Agent Orchestration

Lead agent spawns parallel sub-agents with isolated contexts and automatic summarization.

Persistent Memory

Long-term and short-term memory system stores user preferences and context across sessions.

Extensible Skills

Markdown-based skills loaded on demand, with custom extensions via MCP servers or Python.

Perfect for

Self-hosted AI agents
Long-running autonomous workflows
Local-first research and coding
Enterprise data-sovereign agents

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