FlowiseAI/Flowise

Health v2 · maintenance only

Flags: archived no_license

Adoption not part of the score

55396 stars · 24952 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Flowise is an open-source, visual low-code platform for building AI agents, chatbots, and LLM workflows using a drag-and-drop builder with 100+ integrations for models, vector databases, and tools. It supports single-agent chatflows, multi-agent orchestration (Agentflow), RAG pipelines, human-in-the-loop review, and deployment via npm or Docker with APIs, SDKs, and an embedded chat widget.

Use cases

• build ai agents without writing code
• create a chatbot with rag over my documents
• visually orchestrate multi-agent llm workflows
• self-host a low-code llm app builder
• connect openai or local llms to vector databases
• embed an ai chat assistant into my website
• prototype langchain pipelines with a drag-and-drop editor

When to choose

• you want a visual, low-code way to prototype or productionize LLM agents and RAG chatbots
• you need self-hosted or air-gapped deployment with APIs, SDKs, and observability integrations
• you want broad integrations with 100+ LLMs, vector stores, and tools without writing glue code

When to avoid

• you need a actively maintained project - Flowise has been archived/sunset by its maintainers
• you require fully code-first, programmable agent frameworks rather than a visual builder
• you need permissive licensing - the license is custom (NOASSERTION) rather than a standard open-source license

Facets

application · maturity abandoned

agent-framework rag chatbot workflow-automation llm-inference web-framework monitoring artificial-intelligence large-language-models chatbots web-development self-hosted developer-tools self-hosted cross-platform low-code no-code visual-builder langchain multi-agent llm-workflows drag-and-drop archived-project ai-agents retrieval-augmented-generation nodejs docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="FlowiseAI/Flowise")