# FlowiseAI/Flowise

Build AI Agents, Visually

Repository: https://github.com/FlowiseAI/Flowise
Canonical: https://ross.abutalabs.com/products/flowise
Homepage: https://flowiseai.com
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: artificial-intelligence, chatgpt, large-language-models, low-code, no-code, javascript, react, typescript, langchain, openai, rag, chatbot, workflow-automation, agentic-ai, agentic-workflow, agents, multiagent-systems
Archived: true
Last push: 2026-08-13T12:38:19+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 97, release rhythm 95, longevity 89
- inputs: {"age_days": 1251, "days_push": 20, "days_rel": 35, "gap_med": 15.0, "n_releases_24m": 35}
- flags: archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 55396, forks 24952 (observed 2026-08-28T04:12:18.392783+00:00)

## What it is
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- you need a actively maintained project - Flowise has been archived/sunset by its maintainers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
- artifact type: application
- maturity: abandoned
- function: agent-framework, rag, chatbot, workflow-automation, llm-inference, web-framework, monitoring
- domain: artificial-intelligence, large-language-models, chatbots, web-development, self-hosted, developer-tools
- platform: self-hosted, cross-platform
- tags: 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
- FlowiseAI/Flowise (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:12:18.392783+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:18:57.943432+00:00, confidence not recorded.
  - readme: https://github.com/FlowiseAI/Flowise (fetched 2026-08-28T04:12:18.392783+00:00, sha 625982ccc06a)
  - homepage: https://flowiseai.com (fetched 2026-08-28T18:04:58.174396+00:00, sha 517e65d1e213)
  - site_page: https://docs.flowiseai.com (fetched 2026-08-28T18:04:58.184120+00:00, sha ecb1320fb489)
  - site_page: https://docs.flowiseai.com/getting-started (fetched 2026-08-28T18:04:58.185885+00:00, sha 79e163a91c65)
- Data as of 2026-08-30T08:39:29.467469+00:00.