For developers building custom AI applications, Flowise is an open-source visual builder that lets you chain LLMs, tools, and agents together without writing boilerplate code.

Presence & Market Position

SOV Score

Tracked · below panel floor — earned mentions are accruing toward the next scored window.

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Flowise positions itself as an open-source, visual way to build AI agents: chain models, tools, and multi-step workflows, branded Agentflow and Chatflow, without hand-coding the orchestration layer, aimed at both no-code builders and developers extending it through its API and SDKs. It carries an active open-source community around it, evidenced by continued GitHub development and self-hosting after Workday's 2025 acquisition. Beyond that base, its footprint in the broader GTM conversation is still early, with no scored presence on record yet.

Related brands
Customers

Publicis Groupe, InsightSoftware, UneeQ, BTS, QMIC, Liverpool Hospital

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Business Profile

Flowise came out of Y Combinator's Summer 2023 batch, co-founded by Henry Heng and Chung Yau Ong, and grew into one of the most-starred open-source AI projects on GitHub on the strength of its visual agent-builder. In August 2025, Workday acquired the company to bring visual AI agent-building into its HR and finance platform, adding that capability directly to Workday's product line. The open-source project continues under community maintenance and remains available to self-host, with a small team on record at four employees.

Founded
2023
Employees
4
Funding
$0.5M
Status
Acquired
Scale stage
Startup
GTM Categories
GTM Developer ToolsOrchestration

Agent Readiness

72B
Agent Readiness
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Agent-building sits at the center of Flowise's product: Agentflow handles multi-agent orchestration, Chatflow adds tool-calling and RAG-backed chat, and both ship with human-in-the-loop checkpoints and execution-trace observability for debugging agent runs. Outside developers reach it through a documented API, embeddable widgets, and TypeScript and Python SDKs, with no separate MCP server or app-store listing on file.

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