Flowise built a strong reputation as an open-source visual builder for LLM applications. Low barrier to entry, self-hostable, and built on LangChain -- it hit a sweet spot for developers who wanted a UI without giving up control.
The Workday acquisition changes the calculus for a lot of builders. When an enterprise company acquires an open-source dev tool, the roadmap tends to shift toward enterprise requirements: security certifications, SLA commitments, pricing that doesn't fit indie use cases. It happened with Mulesoft, with Mendix, with dozens of others.
If you're evaluating where to go next, here's an honest look at the main options.
1. NODLES
NODLES is a visual AI workflow builder built for multi-model pipelines. Where Flowise was focused on LangChain-based LLM applications, NODLES takes a broader approach: text generation, image generation, video, and quality control across multiple providers in a single canvas.
Strengths:
- Multi-model native -- Gemini, OpenAI, Grok, Kling, Seedance 2.0 in one pipeline
- BYOK (Bring Your Own Keys) as a first principle -- your keys stored locally in the browser, requests go straight to providers, zero markup on AI costs
- Vibe-Noding -- describe the workflow you want in plain language, the copilot builds the node graph
- Visual debugging -- watch data flow through nodes in real time, see exactly where a pipeline fails
- No-code first -- built for builders who don't want to write Python
Weaknesses:
- Younger product, in private beta -- smaller ecosystem and template library than established tools
- No self-hosting currently -- hosted browser-based tool only
- Less LangChain/RAG depth than Flowise or Langflow if that's your primary use case
Pricing: Free tier (5 workflows, 50 executions/month). Paid tiers cover platform access -- AI generation costs go directly to your provider.
Best for: Builders who want multi-model visual pipelines, care about cost transparency, and aren't tied to the LangChain ecosystem.
2. Langflow
Langflow is the closest direct replacement for Flowise -- it's also a visual interface for LangChain-based applications, also open source, and has been actively developed with a growing component library.
Strengths:
- Deep LangChain integration -- if your Flowise workflows used LangChain chains, agents, or RAG, Langflow is the most direct migration path
- Open source and self-hostable -- no acquisition risk in the same way
- Active development -- the team has been shipping quickly and the component library keeps growing
- Strong for RAG pipelines, conversational agents, document Q&A
Weaknesses:
- Code-adjacent -- debugging often means reading LangChain stack traces, not just inspecting visual nodes
- Provider coverage is text-heavy -- image gen, video gen, and mixed-modal pipelines aren't the focus
- Not genuinely no-code -- you need to understand what's happening underneath to use it effectively
Pricing: Open source (self-host free). Datastax offers a hosted version with a free tier.
Best for: Developers migrating directly from Flowise who are building LLM-native applications and want to stay in the LangChain ecosystem.
3. n8n
n8n is a general automation platform, not an AI-native tool -- but its scale and flexibility make it a legitimate option for builders whose Flowise workflows were primarily about connecting AI outputs to other systems.
Strengths:
- 400+ integrations -- if your AI pipeline feeds into a CRM, database, Slack, email, or almost anything else, n8n likely has a native connector
- Mature, self-hostable, large community and template library
- Fair-code license -- free to self-host, paid for cloud
Weaknesses:
- AI is an add-on, not the core -- building multi-step LLM pipelines requires more manual wiring than tools designed for it
- No visual debugging specific to AI model outputs
- Heavier setup for pure AI use cases
Pricing: Free to self-host. Cloud starts at $20/month.
Best for: Teams with complex cross-system automation needs who need AI as one step in a larger workflow, not the whole workflow.
4. Stack AI
Stack AI is an enterprise-focused no-code platform for building AI applications -- forms, chatbots, document processors, internal tools. It's closer to the "build a product on top of AI" use case than a pure pipeline builder.
Strengths:
- Strong UI builder -- you can ship customer-facing AI tools, not just internal pipelines
- Enterprise features: SSO, audit logs, compliance tooling
- Managed hosting and support
Weaknesses:
- Pricing is enterprise-tier -- not built for indie hackers or solo builders
- Less flexible for custom pipeline logic than lower-level tools
- Proprietary, no self-hosting
Pricing: Paid tiers starting around $199/month. Enterprise on request.
Best for: Companies building customer-facing AI products who need compliance features and support SLAs.
5. Activepieces
Activepieces is an open-source automation platform positioned as a Zapier/Make alternative. It's added AI steps but remains primarily a general automation tool.
Strengths:
- Open source and actively maintained -- you can self-host without vendor risk
- Growing piece library including AI model integrations
- Clean UI, easier to onboard than n8n for non-technical users
Weaknesses:
- AI capabilities are less mature than dedicated AI pipeline builders
- Community and template library smaller than n8n
- Not built for complex multi-model AI workflows
Pricing: Free to self-host. Cloud has a free tier.
Best for: Teams wanting an open-source Zapier replacement who need basic AI steps in broader automation flows.
Quick Comparison
| NODLES | Langflow | n8n | Stack AI | Activepieces | |
|---|---|---|---|---|---|
| AI-native | Yes | Yes | No | Partial | No |
| Multi-model | Yes | No | Partial | Partial | No |
| BYOK | Yes | Yes | Partial | No | No |
| Self-hosting | No | Yes | Yes | No | Yes |
| No-code first | Yes | No | Yes | Yes | Yes |
| Open source | No | Yes | Fair-code | No | Yes |
| Free tier | Yes | Yes | Yes | No | Yes |
Which to Choose
Migrate to Langflow if your Flowise workflows were LangChain-based and you want the most direct path with minimal rework.
Choose NODLES if you want to go broader -- multi-model pipelines across text, image, and video providers -- with BYOK cost transparency and no-code first design.
Choose n8n if your primary need is connecting AI outputs into broader automation flows across many systems.
Choose Stack AI if you're an enterprise team building customer-facing AI products and need compliance and support.
Choose Activepieces if you want an open-source general automation tool with basic AI capabilities.
The Flowise acquisition doesn't mean your workflows are broken -- it means the tool's priorities will shift over time. The alternatives above give you a starting point for where to look based on what you actually need.
Try NODLES Free
Multi-model visual pipelines with BYOK pricing. The Hobby tier is free -- 5 workflows, 50 executions/month. Bring your own API keys and start building.
Try NODLES Free