DeerFlow vs PySpur

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	DeerFlow Agents	PySpur Agents
Tagline	Open-source multi-agent framework from ByteDance for long-running research, coding, and content tasks.	Open-source agent builder with a drag-and-drop canvas, Python escape hatch, and a built-in test harness.
Category	Agents	Agents
Pricing	Free· Free, MIT-licensed (self-hosted; you pay only for LLM tokens)	Freemium· Open-source (Apache 2.0); managed Cloud coming soon
Model	Multi-model (Doubao, DeepSeek, OpenAI, Gemini)	Multi-model
Editorial score	7.2 / 10	7.0 / 10
Use cases	deep-researchautonomous-codingmulti-agent-orchestrationcontent-generationdata-analysis	agent-orchestrationagent-evaluationvisual-workflow-builderself-hosted-agentstool-use
Pros	Fully MIT-licensed and self-hostable — no vendor lock-in Persistent Docker sandbox with shell + VSCode integration Model-agnostic: routes to Doubao, DeepSeek, OpenAI, or Gemini Built-in long/short-term memory and sub-agent spawning Backed by ByteDance, so active upstream development	Apache-2.0 licensed and pip-installable, runs fully self-hosted Visual canvas plus Python escape hatch, no lock-in to a DSL Built-in test cases and failure inspection, not an afterthought Agents export as JSON so they diff cleanly in git
Cons	No managed/hosted SaaS — Docker and LLM keys required Smaller community than LangGraph or CrewAI Public API surface for embedding is under-documented	Managed cloud and official SDKs are still on the roadmap Smaller ecosystem than LangGraph or LlamaIndex Visual builders can hide complexity that bites at scale
Website	deerflow.tech	pyspur.dev

Pick DeerFlow if

✅ Fully MIT-licensed and self-hostable — no vendor lock-in
✅ Persistent Docker sandbox with shell + VSCode integration
✅ Model-agnostic: routes to Doubao, DeepSeek, OpenAI, or Gemini
✅ Built-in long/short-term memory and sub-agent spawning

Pick PySpur if

✅ Apache-2.0 licensed and pip-installable, runs fully self-hosted
✅ Visual canvas plus Python escape hatch, no lock-in to a DSL
✅ Built-in test cases and failure inspection, not an afterthought
✅ Agents export as JSON so they diff cleanly in git

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