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Flowise

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A leading open-source visual builder for LLM agents and RAG apps that trades some polish for flexibility and self-hosting freedom.

flowiseai.com
Flowise screenshot

Flowise has established itself as one of the most popular open-source platforms for visually building LLM-powered agents and chatbots, thanks to its drag-and-drop canvas built atop LangChain-style orchestration and support for 100+ models and vector stores. It's genuinely useful for prototyping RAG pipelines, multi-agent workflows, and chatbots quickly, and the open-source/self-hosted option makes it attractive to teams wary of vendor lock-in, while the hosted cloud tiers add convenience at a reasonable price. The free tier is more of a demo than a working plan, and while the visual approach scales well for simple-to-moderate flows, very complex agent systems can still get tangled, and self-hosting adds operational overhead that not every team wants to take on.

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Reviewed by the launched.tools desk · Jul 2026
Capability
85
Usability
76
Value
88
Reliability
78
Docs & support
80
Pros
+Visual drag-and-drop builder makes complex agent and RAG workflows accessible without heavy coding
+Open source with self-hosting option, giving full control and avoiding vendor lock-in
+Broad integration support: 100+ LLMs, vector DBs, embeddings, and deployment via API/SDK/embedded widget
Cons
Free tier is quite limited (100 predictions/month, 5MB storage), pushing serious users to paid plans quickly
Visual builders can become unwieldy for very complex multi-agent flows, requiring careful organization
Self-hosted deployments demand more DevOps know-how than fully managed competitors like Zapier or n8n's cloud version
Agentflow for building multi-agent orchestrated systems
Chatflow for single-agent chat assistants with tool calling and RAG
Human-in-the-loop review steps within agent workflows
Execution tracing with OpenTelemetry/Prometheus observability support
API, SDK, and embeddable chat widget for integrating into existing apps

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