Flowise
← Back to All AI Tools1. Should you try Flowise? Overview
| What it is | Flowise is an open-source, low-code visual builder for LLM applications and AI agents. |
| Country / HQ | Singapore (open source) |
| Best for | developers and small teams who want a free, self-hosted way to ship chatbots and agents with full data control. |
| Check before buying | Run the Community Edition with Docker, connect an API key for your model provider, and build a simple RAG chatbot over a PDF in about fifteen minutes using the visual canvas. Expose it via the API or embed widget when ready. |
| Pricing signal | See pricing section |
2. Features What it does
| Feature | What it does |
|---|---|
| It provides three builders: Assistant for simple chatbo | It provides three builders: Assistant for simple chatbots, Chatflow for single-agent flows, and Agentflow for multi-agent orchestration. |
| It supports 100+ LLMs, embedding models, and vector sto | It supports 100+ LLMs, embedding models, and vector stores, native RAG, tool calling, a REST API, TypeScript and Python SDKs, an embeddable chat widget, human-in-the-loop steps, and execution tracing for observability. |
3. Pricing Pricing (2026-10, USD)
| Plan | Price / mo | Key limits & who it fits |
|---|---|---|
| Pricing | The Community Edition is free under Apache 2.0 and you self-host it on your own infrastructure — that is the real value. Flowise Cloud adds managed hosting: a Free tier (2 flows, 100 predictions/month, 5MB storage), Starter at about $35/month (unlimited flows, 10,000 predictions), and Pro at about $65/month (50,000 predictions, 5 seats). |
Run the Community Edition with Docker, connect an API key for your model provider, and build a simple RAG chatbot over a PDF in about fifteen minutes using the visual canvas. Expose it via the API or embed widget when ready.
4. Integration Access & integrations
| Access type | Details |
|---|---|
| Access | Self-host via Docker or Node, or use Flowise Cloud. |
| Access | Built apps expose a REST API, SDKs, and an embeddable widget, and it integrates with the major model providers and vector databases. |
5. Reviews & Sources External reviews
| Source | Rating | What it says |
|---|---|---|
| Reviews | — | It rates around 4.5/5 and is widely recommended as the best free, self-hostable LLM builder. |
| Reviews | — | The caveats: it is still developer-oriented, and the cloud free/Starter prediction quotas are low, so heavy use scales fast. |
6. Best for / Not for Fit
| ✔ Suitable | ✘ Not suitable |
|---|---|
| • developers and small teams who want a free, self-hosted way to ship chatbots and agents with full data control. | • non-technical users who expect a zero-infrastructure, no-code experience — you still configure nodes and prompts. |
7. Competitors How it compares
| Competitor | How it differs | Best for |
|---|---|---|
| Flowise’s edge | genuine open-source freedom and a visual canvas; n8n wins for broader automation, Dify for a more polished app layer. | Similar category |
8. Summary Verdict
| Takeaway | If you want to build LLM apps for free on your own servers, Flowise is hard to beat. Pay for Cloud only if you would rather not run infrastructure. |
| Who should pick it | developers and small teams who want a free, self-hosted way to ship chatbots and agents with full data control. |
| Who should skip it | non-technical users who expect a zero-infrastructure, no-code experience — you still configure nodes and prompts. |
