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Flowise AI

Flowise is an open source drag & drop tool to build your customized LLM flow. We provide a visual interface to let you build backends for LLM apps used for QnA, summarization and analysis on your documents.

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Founded

2023

Location

San Francisco, CA

Employees

5

Funding

OSS + Hosted

Flowise AI — Visual Builder for AI Agents and LLM Workflows

Flowise AI is an open‑source, low‑code platform for designing, evaluating, and deploying AI agents and LLM workflows via a drag‑and‑drop canvas. Teams can ship agentic apps to production using APIs, SDKs, or embeddable web widgets, and choose between self‑hosting or a managed cloud.

  • Founded in 2023 by ZhenJing Heng (Henry) and Chung Yau Ong; HQ in San Francisco
  • Open source under Apache‑2.0 with an active community
  • Acquired by Workday in Aug 2025 to bring native agent‑building into Workday (see the [Workday newsroom announcement](https://newsroom.workday.com), coverage on [PR Newswire](https://www.prnewswire.com) and [SiliconANGLE](https://siliconangle.com))
  • Learn more: [Website](https://flowiseai.com), [Docs](https://docs.flowiseai.com), [GitHub](https://github.com/FlowiseAI/Flowise), [LinkedIn](https://www.linkedin.com/company/flowiseai)
  • Why it matters

    Flowise reduces the time and complexity of building production‑grade AI agents. Its visual canvas and prebuilt RAG pipelines help product and data teams move from prototype to deployment quickly, while evaluations and monitoring close the loop on quality and performance.

    Product snapshot

  • Visual agent builder: Design multi‑step logic, tool use, and memory with [AgentFlow V2](https://docs.flowiseai.com/agentflow).
  • Multi‑agent patterns: Orchestrate specialized agents for research, routing, and tool use.
  • RAG pipelines: Ingestion, chunking, embeddings, upsertion, and retrieval prebuilt with [RAG & upsertion guides](https://docs.flowiseai.com/rag).
  • Evaluation & monitoring: Built‑in evaluations, analytics, and observability for iterative improvement .
  • Deployment options: Prediction API, streaming responses, embeddable chat widget, and SDKs for Python/TypeScript .
  • Flexible hosting: Open source (Apache‑2.0) for self‑hosting or managed [Flowise Cloud](https://flowiseai.com).
  • Key features

  • AgentFlow V2 canvas for complex agent logic and tool orchestration
  • End‑to‑end RAG and upsertion workflows with popular vector databases
  • Built‑in evaluations to measure answer quality and latency
  • Real‑time streaming and session memory for conversational experiences
  • Drop‑in embedded chat widget for websites and apps
  • Production‑ready Prediction API with Python/TypeScript SDKs
  • Integrations

  • Models/providers: OpenAI/Azure OpenAI, Anthropic, Mistral, Ollama, LocalAI, and more
  • Vector stores: Pinecone, Qdrant, Weaviate, Chroma, Milvus
  • Tools/APIs: Google Custom Search, Brave, OpenAPI Toolkit, calculators, plus many LangChain tools
  • Third‑party platforms: [Zapier](https://docs.flowiseai.com/integrations/platforms/zapier), [Microsoft Teams](https://docs.flowiseai.com/integrations/platforms/microsoft-teams), [Streamlit](https://docs.flowiseai.com/integrations/platforms/streamlit), [Open WebUI](https://docs.flowiseai.com/integrations/platforms/open-webui)
  • Deployment and developer options

  • APIs & SDKs: [Prediction API](https://docs.flowiseai.com/api) with streaming and SDKs for Python/TypeScript
  • Embeds: Drop‑in [web chat widget](https://docs.flowiseai.com/embed) for sites and apps
  • Self‑hosting: [Docker](https://docs.flowiseai.com/self-host/docker) and community [Helm chart](https://artifacthub.io) with guides for [DigitalOcean](https://docs.flowiseai.com/self-host/digitalocean) and [Hugging Face](https://docs.flowiseai.com/self-host/huggingface)
  • Tutorials: Agentic RAG, deep research, and step‑by‑step examples
  • Open source and community

  • License: Apache‑2.0
  • Active development with frequent releases and tens of thousands of GitHub stars
  • Community sentiment:
  • Pros: Fast prototyping via visual builder; strong agent/RAG focus; self‑hostable; active docs/tutorials (see [subreddit](https://www.reddit.com/r/flowise))
  • Cons: Documentation gaps for advanced scenarios; some teams prefer general automation tools (e.g., n8n/Make) for non‑AI workflows; varying community responsiveness
  • Pricing and Cloud

  • Flowise Cloud Free plan (e.g., 2 flows, 100 predictions/month, 5 MB storage) with evaluations included
  • See current [pricing on the homepage](https://flowiseai.com)
  • Who it’s for

  • Developers and data teams needing a visual agent/RAG builder with fine‑grained control
  • Product managers and solutions engineers prototyping AI features and internal tools
  • Organizations that prefer open source and require self‑hosting or VPC deployment
  • Workday customers/partners adopting agent workflows within Workday post‑acquisition
  • Common use cases

  • Internal knowledge assistants and document Q&A using RAG
  • Multi‑agent research, task routing, and tool‑use workflows
  • SQL/data agents over enterprise databases
  • Support and ops bots that call APIs and business systems
  • Embedded chat widgets for customer‑facing sites and apps
  • Rapid prototyping before committing to custom code
  • Differentiators

  • Visual, low‑code agent design that stays close to production semantics
  • Strong end‑to‑end RAG support, from ingestion to retrieval
  • First‑class evaluations and monitoring for quality and latency
  • Dual hosting model: permissive open source plus managed Cloud
  • Broad ecosystem integrations across models, tools, and vector stores
  • Considerations

  • Advanced patterns may require deeper docs or community support
  • For non‑AI workflow automation, general iPaaS tools may be a better fit
  • Quick facts

  • Name: Flowise AI
  • Founded: 2023
  • Founders: ZhenJing Heng (Henry), Chung Yau Ong
  • HQ: San Francisco, CA, US
  • Team size: Small (LinkedIn indicates 2–10; profile shows ~5)
  • YC: YC‑affiliated (per Seedtable/Tracxn)
  • Open source license: Apache‑2.0
  • Acquisition: Workday (Aug 2025)
  • Notable links

  • [Homepage](https://flowiseai.com)
  • [Documentation](https://docs.flowiseai.com)
  • [GitHub](https://github.com/FlowiseAI/Flowise)
  • [AgentFlow V2 guide](https://docs.flowiseai.com/agentflow)
  • [RAG & Upsertion](https://docs.flowiseai.com/rag)
  • [Evaluations](https://docs.flowiseai.com/evaluations)
  • [Monitoring & Observability](https://docs.flowiseai.com/monitoring)
  • [Embed Widget](https://docs.flowiseai.com/embed)
  • [Prediction API](https://docs.flowiseai.com/api)
  • [Streaming & SDKs](https://docs.flowiseai.com/sdk)
  • [Integrations index](https://docs.flowiseai.com/integrations)
  • [Workday acquisition: newsroom](https://newsroom.workday.com), [PR Newswire](https://www.prnewswire.com), [SiliconANGLE](https://siliconangle.com)
  • [Capterra listing](https://www.capterra.com)
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