Flowise

docs.flowiseai.com ↗

Open source platform for building AI agents and LLM workflows

SI Score
74/100
Pricing
Open Source
Free plan
Not confirmed
Sign-up required
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Screenshot of the Flowise homepage
SI REVIEWBased on the site's own pages, in a directory managed by people

What it does

Flowise is an open source generative AI development platform for building AI Agents and LLM workflows. It offers a visual builder with three modes: Assistant, Chatflow, and Agentflow. It also includes tracing and analytics, evaluations, human in the loop, and API, CLI, and SDK access.

Flowise is an open source platform for building AI agents and LLM workflows. The documentation describes three visual builders. Assistant is the most beginner-friendly way to create an AI agent. Chatflow is for single-agent systems, chatbots, and simple LLM flows. Agentflow is the superset of Chatflow and Assistant, and it can be used for multi-agent systems and complex workflow orchestration. The platform connects to 100+ sources, tools, vector databases, and memories. It lists self-hosted options and air-gapped deploy. Other listed capabilities include execution logs, visual debugging, external log streaming, MCP client and server nodes, RBAC, SSO, encrypted credentials, secret managers, rate limits, and restricted domains. API access, JS and Python SDK, and a command line interface are also listed. The documentation does not state a free plan, account requirement, or supported platforms, so those facts remain unknown. The page also does not give prices. A reader should check the documentation for current details because the feature list is broad.

Strengths
  • Open source generative AI development platform
  • Three visual builders: Assistant, Chatflow, and Agentflow
  • Connects to 100+ sources, tools, vector databases, and memories
  • Self-hosted options and air-gapped deploy
Watch out for
  • No free plan information in the official documentation text
  • No account requirement information in the official documentation text
  • No supported platform list in the official documentation text
Best for
DevelopersAI engineersData teamsProduct teams Orchestrating LLM workflows