Comparison
deer-flow vs Flowise
deer-flow (SuperAgent harness for research and development tasks) vs Flowise (Build AI Agents, Visually) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · deer-flow alternatives · Flowise alternatives
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Tagline
- deer-flow
- SuperAgent harness for research and development tasks
- Flowise
- Build AI Agents, Visually
Stars
- deer-flow
- 76k
- Flowise
- 54k
Forks
- deer-flow
- 10k
- Flowise
- 25k
Open issues
- deer-flow
- 937
- Flowise
- 981
Language
- deer-flow
- Python
- Flowise
- TypeScript
Adopt for
- deer-flow
- DeerFlow is a long-horizon SuperAgent harness designed for orchestrating complex tasks involving sub-agents, memory management, and sandbox environments.
- Flowise
- Flowise is designed for building AI agents with a visual, drag-and-drop interface, enabling both low-code and no-code functionalities. It supports TypeScript and integrates with multiple third-party components.
Persona
- deer-flow
- -
- Flowise
- -
Runtime
- deer-flow
- -
- Flowise
- -
License
- deer-flow
- DeerFlow is distributed under the MIT License, which allows free usage, modification, and distribution as long as original copyright and license notices are retained.
- Flowise
- Other
Last pushed
- deer-flow
- Jul 8, 2026
- Flowise
- Jul 6, 2026
Categories
- deer-flow
- AI Agents
- Flowise
- AI Agents, Developer Tools
Trust and health
Days since push
- deer-flow
- 0d
- Flowise
- 2d
Open issues (now)
- deer-flow
- 937
- Flowise
- 981
Full report
- deer-flow
- Trust report
- Flowise
- Trust report
Typed relationship
deer-flow Flowise
Choose deer-flow if…
- deer-flow is primarily Python; Flowise is TypeScript.
- License: deer-flow is MIT, Flowise is Other.
- Self-hosted solution that requires setting up Docker containers or local development environments for deployment.
- Pricing: DeerFlow is available for free under the MIT License, but recommended plans from ByteDance Volcengine suggest certain configurations like Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5 which may be .
- Requirements: Min 8 GB RAM; Requires Docker; Recommended to use specific configurations from ByteDance Volcengine for optimized performance..
- Graph edge: deer-flow is a typed related of Flowise - see the relationship row above.
- Tags unique to deer-flow: multi-agent, agentic, agent, ai-agents.
- Use DeerFlow when you need to manage and orchestrate multiple sub-agents and resources for extended periods.
When NOT to use deer-flow
- Avoid using DeerFlow if your application requires real-time, immediate response tasks without prolonged execution phases.
- Do not use it when you only need simple task automation that can be handled with basic scripting, as DeerFlow is best suited for scenarios involving deep exploration and research.
Choose Flowise if…
- Flowise is primarily TypeScript; deer-flow is Python.
- License: Flowise is Other, deer-flow is MIT.
- Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed.
- Graph edge: Flowise is a typed related of deer-flow - see the relationship row above.
- Tags unique to Flowise: agents, artificial-intelligence, large-language-models, agentic-workflow.
- Also covers Developer Tools.
- Flowise ships Docker support for self-hosted deployment.
- When you need a tool that enables rapid development of AI-based applications using visual workflows
When NOT to use Flowise
- If your project requires highly specialized programming capabilities not supported by low-code/no-code tools like Flowise
- When you prefer command-line interfaces or purely code-based development environments without a visual interface
Explore
deer-flow trust report →Flowise trust report →AI Agents category →Developer Tools category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between deer-flow and Flowise?
- deer-flow: SuperAgent harness for research and development tasks. Flowise: Build AI Agents, Visually. See the comparison table for live GitHub stats and shared categories.
- When should I choose deer-flow over Flowise?
- Choose deer-flow over Flowise when deer-flow is primarily Python; Flowise is TypeScript; License: deer-flow is MIT, Flowise is Other; Self-hosted solution that requires setting up Docker containers or local development environments for deployment; Pricing: DeerFlow is available for free under the MIT License, but recommended plans from ByteDance Volcengine suggest certain configurations like Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5 which may be ; Requirements: Min 8 GB RAM; Requires Docker; Recommended to use specific configurations from ByteDance Volcengine for optimized performance.; Graph edge: deer-flow is a typed related of Flowise - see the relationship row above; Tags unique to deer-flow: multi-agent, agentic, agent, ai-agents; Use DeerFlow when you need to manage and orchestrate multiple sub-agents and resources for extended periods.
- When should I choose Flowise over deer-flow?
- Choose Flowise over deer-flow when Flowise is primarily TypeScript; deer-flow is Python; License: Flowise is Other, deer-flow is MIT; Requirements: Requires NodeJS >= 20.0.0 and optionally Docker for containerization; For local development, PNPM package manager is needed; Graph edge: Flowise is a typed related of deer-flow - see the relationship row above; Tags unique to Flowise: agents, artificial-intelligence, large-language-models, agentic-workflow; Also covers Developer Tools; Flowise ships Docker support for self-hosted deployment; When you need a tool that enables rapid development of AI-based applications using visual workflows.
- When should I avoid deer-flow?
- Avoid using DeerFlow if your application requires real-time, immediate response tasks without prolonged execution phases. Do not use it when you only need simple task automation that can be handled with basic scripting, as DeerFlow is best suited for scenarios involving deep exploration and research.
- When should I avoid Flowise?
- If your project requires highly specialized programming capabilities not supported by low-code/no-code tools like Flowise When you prefer command-line interfaces or purely code-based development environments without a visual interface
- Is deer-flow or Flowise more popular on GitHub?
- deer-flow has more GitHub stars (76,434 vs 54,430). Stars measure visibility, not whether either tool fits your constraints.
- Are deer-flow and Flowise open source?
- Yes - both are open-source projects on GitHub (deer-flow: MIT, Flowise: Other).
- Where can I find alternatives to deer-flow or Flowise?
- GraphCanon lists graph-backed alternatives at /tools/bytedance-deer-flow/alternatives and /tools/flowiseai-flowise/alternatives (/tools/bytedance-deer-flow/alternatives.md, /tools/flowiseai-flowise/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/bytedance-deer-flow-vs-flowiseai-flowise.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, deer-flow or Flowise?
- deer-flow: Very active. Flowise: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for deer-flow and Flowise?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deer-flow: /tools/bytedance-deer-flow/trust; Flowise: /tools/flowiseai-flowise/trust.