Workday acquired Flowise in August 2025.
If you were using Flowise as an indie builder, a solo dev, or a small team — that acquisition should make you think. When enterprise companies acquire dev tools, the roadmap shifts toward compliance certifications, SLA commitments, and pricing that doesn't fit small teams.
Flowise still works. But the question is where it goes from here.
If your workflows were LangChain-native: Langflow
Langflow is the most direct replacement. Also visual, also LangChain-native, also open source. If your Flowise workflows used RAG pipelines, agents, or conversational memory, Langflow is the cleanest migration.
The honest downside: it's code-adjacent. When things break, you're debugging LangChain internals.
If you want multi-model pipelines: NODLES
Flowise was always text-heavy. If you were trying to build pipelines with images or video, you were working against the grain.
NODLES treats multi-model pipelines as the default. Gemini, OpenAI, Grok, Kling, Seedance 2.0 in one canvas, BYOK.
The tradeoff: private beta, no self-hosting, smaller ecosystem. But if your use case is model chaining — not just LLM chaining — it's the more natural fit.
If you want the safest open-source bet: n8n
Independent, fair-code, self-hostable. AI isn't its core but no acquisition risk and a massive integration library.
The honest take
Langflow if you're staying LangChain-native. NODLES if you're chaining models beyond text. n8n if you want stability.
Different jobs, different tools.
NODLES free tier: 5 workflows, 50 executions/month. nodles.ai
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