Ross ROSS = Recommend OSS · open-source software intelligence for agents

Flowise

Build AI Agents, Visually observed · 2026-10-14

github.com/FlowiseAI/Flowise · homepage · TypeScript · NOASSERTION (other) · archived observed · 2026-10-14

Health v2 · maintenance only

10/100

  • Activity 89
  • Release rhythm 88
  • Longevity 92

Flags: archived no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 16
  • age_days: 1299
  • days_rel: 83
  • days_push: 68
  • n_releases_24m: 32

Full methodology

Adoption not part of the score

55501 stars · 25057 forks observed · 2026-10-14

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-21, confidence 0.97

Flowise is an open‑source visual development platform for building AI agents and LLM workflows. It provides a web UI, CLI, and APIs to design, orchestrate, and deploy multi‑agent systems with RAG and tool‑calling capabilities.

Use cases

  • Create a chatbot with tool calling and knowledge retrieval from uploaded documents.
  • Design multi‑agent workflows that coordinate several LLMs for complex tasks.
  • Prototype AI assistants quickly using a drag‑and‑drop visual editor.
  • Integrate LLM-powered agents into existing applications via the Flowise SDK or REST API.
  • Run self‑hosted AI agent pipelines on Docker or a local Node.js server.

When to choose

  • You need a visual, low‑code environment to prototype or build AI agents without writing extensive code.
  • Your project requires integration with many data sources, vector databases, or custom tool calls.
  • You prefer a self‑hosted solution that can be deployed via Docker or run locally on Node.js.
  • You want built‑in observability, tracing, and support for multiple LLM providers.

When to avoid

  • You require a fully maintained, actively supported product (Flowise is archived and no longer receiving updates).
  • Your deployment must run on platforms not supported by Node.js or Docker (e.g., embedded systems).
  • You need deep customisation of the core engine beyond what the visual builder and plugins allow.

Facets

application · maturity abandoned

api-framework agent-framework rag llm-inference web-framework cli artificial-intelligence large-language-models chatbots data-science cli windows low-code no-code visual-builder flowise typescript retrieval-augmented-generation web-server docker nodejs linux macos

4 sources

Member repositories

For agents

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

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem