Flowise

The open-source core is free to self-host, and there is a managed cloud plan reported to start around $35/month. Beyond that subscription, your real cost is driven by LLM token usage, vector database hosting, and infrastructure, and Flowise does not publish overage pricing. Confirm current plans and limits on the official site.

You assemble applications on a visual canvas by connecting modular nodes — language models, retrievers, memory, tools, and logic — into a flow. This lets you create chatbots, RAG systems that answer from your own documents, and multi-agent workflows, then test and iterate quickly. Completed flows can be embedded into a website or called through an API.

Flowise can be self-hosted on platforms including AWS, Azure, and GCP, giving you full control over data and models. Alternatively, the managed Flowise Cloud offering removes the operational overhead of running it yourself. The choice typically comes down to how much control versus convenience your team needs.

Because it's built on the LangChain ecosystem, Flowise supports a broad range of LLM providers, vector databases, and tools rather than a single vendor. It also provides APIs and SDKs for embedding chatbots and integrating with existing applications. Available nodes expand regularly through active open-source development.

Self-hosting is the primary privacy advantage: running Flowise on your own infrastructure keeps data and model calls within your environment. The platform also supports observability through execution traces and tools like Prometheus and OpenTelemetry. Teams handling sensitive data should still review their chosen LLM providers' data policies.

Flowise has joined Workday, signaling growing enterprise interest in its agentic development tooling. The project also continues to evolve rapidly as an open-source platform, adding agentflow capabilities and new integrations. Check the official site and GitHub repository for the latest details.

Yes, Flowise offers a free plan for both self-hosted deployment and cloud hosting. The Free Cloud plan includes 2 flows and 100 predictions per month. For unlimited usage, the Starter plan costs $35/month with unlimited flows and 10,000 predictions per month.

Flowise is built on LangChain and supports LLM integrations, vector databases like Pinecone, and offers API access to run flows and AI assistants. Specific integration details beyond LangChain components were not extensively documented in our research — check the official documentation for the complete list.

Flowise is open-source and optimized for flexible LLM chaining and RAG systems, while alternatives like Voiceflow focus on hosted conversation design with richer collaboration features. Compared to Langflow (42,000 GitHub stars) and Dify (58,000 stars), Flowise has around 30,000 stars but offers a clearer UI and greater out-of-the-box range according to user reviews. It's best for teams prioritizing self-hosting and infrastructure control over managed services.