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Flowise

Open-source low-code tool for building LLM flows and agents by dragging nodes for models, memory, tools, and retrievers. FlowiseAI has announced sunsetting; check the site for migration guidance.

CodingAgents

How it works / How to use

Open-source low-code tool for building LLM flows and agents by dragging nodes for models, memory, tools, and retrievers. FlowiseAI has announced sunsetting; check the site for migration guidance.

  1. Define the trigger and goal for your workflow in Flowise.
  2. Connect only the integrations you need and test with sample data.
  3. Add guardrails: approval steps, error alerts, and rate limits.
  4. Monitor early runs and adjust prompts or filters before scaling volume.

How to prompt

Exporting flow definitions helps preserve work during Flowise sunsetting.

Document my Flowise chatflow: nodes used, model settings, memory type, and connected vector store for migration to Dify.

Best output tips

  • Test automations on sandbox data first.
  • Log failures and cap retry loops.
  • Document which model or step owns each decision.
  • Verify current plans and limits on the official Flowise website.

Try this AI

Try Flowise

Product Details

Pricing, features, limits and latest updates

Flowise

Open-source low-code tool for building LLM flows and agents by dragging nodes for models, memory, tools, and retrievers. FlowiseAI has announced sunsetting; check the site for migration guidance.

No listed price

Pricing Plans

No listed plans.

Key Features

Open Source

open source workflow (flowiseai.com).

Automation

automation workflow (flowiseai.com).

Agents

agents workflow (flowiseai.com).

Ideas / Prompt experiences

Share a prompt that worked for you. Username and email are shown with your submission. External links are not allowed.

Example prompt

Export a chatflow

Prompt

Document my Flowise chatflow: nodes used, model settings, memory type, and connected vector store for migration to Dify.

Short explanation

Exporting flow definitions helps preserve work during Flowise sunsetting.

Example prompt

Simple RAG chatflow

Prompt

Design a Flowise flow: PDF loader → text splitter → embeddings → Pinecone retriever → GPT-4 chat with source citations.

Short explanation

Visual node chains map common RAG patterns without custom code.

Share your experience

Required fields are marked. Variation, result, and explanation are optional.

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