deer-flow vs Flowise

Common questions

What is the difference between deer-flow and Flowise?

deer-flow: An open-source long-horizon SuperAgent that handles complex tasks over minutes to hours.. 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; Both Flowise and DeerFlow offer solutions for building AI agents, with a focus on streamlining the process of working with multi-agent systems and integrating various tools and functionalities; Tags unique to deer-flow: agent, agentic-framework, ai-agents, langchain; When you need to manage lengthy workflows over minutes to hours that require constant supervision or adaptation by the AI agent, deer-flow's long-horizon capabilities make it suitable.

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 Docker; Can be installed locally using NodeJS or Docker Compose. Supports various hosting options including cloud platforms and personal servers.; Both Flowise and DeerFlow offer solutions for building AI agents, with a focus on streamlining the process of working with multi-agent systems and integrating various tools and functionalities; Tags unique to Flowise: agentic-ai, large language models, low-code, multiagent-systems; Also covers Developer Tools; Flowise ships Docker support for self-hosted deployment; Flowise enables users to build AI agents visually, focusing on a low-code/no-code approach with support for technologies like langchain and large-language-models.

When should I avoid deer-flow?

For short, straightforward tasks that do not require extensive workflows (under a minute), deer-flow might be overkill due to its advanced functionalities and setup complexity. If your team is primarily working with technologies like Node.js or TypeScript rather than Python, other tools might offer better integration and support.

When should I avoid Flowise?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.

Is deer-flow or Flowise more popular on GitHub?

deer-flow has more GitHub stars (80,066 vs 55,246). 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 deer-flow alternatives and Flowise alternatives (deer-flow markdown twin, Flowise markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison 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 trust report; Flowise trust report.