Flowise Open Source

Flowise is an open-source, low-code platform for building AI agents and LLM workflows through a visual drag-and-drop interface.

Reviewed by 7wData

On this page

Publisher review

Flowise is an open-source, low-code platform for building AI agents and LLM workflows through a visual drag-and-drop interface. Built on LangChainJS, it abstracts the complexity of AI orchestration, allowing both developers and non-technical users to rapidly prototype chatbots, retrieval-augmented generation (RAG) systems, and multi-agent applications without heavy coding. Founded in 2023 by ZhenJing Heng and Chung Yau Ong, Flowise was acquired by Workday in August 2025, significantly enhancing its enterprise positioning.

The platform offers three builder modes—Assistant for simple flows, Chatflow for single-agent systems with advanced RAG, and Agentflow for multi-agent orchestration. It integrates with over 100 LLMs (GPT-4o, Claude, Gemini, Llama), 18+ vector databases (Pinecone, Weaviate, Qdrant, Chroma), and popular frameworks like LangChain and LlamaIndex. The primary strength is speed to production: developers report 5–10x faster prototyping compared to hand-coded solutions.

Flowise is free to self-host with limits (up to 5 production flows), with cloud plans starting at $35/month. The platform supports flexible deployment across AWS, Azure, DigitalOcean, Railway, and air-gapped environments. However, the tool faces several critical trade-offs.

Cost unpredictability is endemic—subscription fees cover only 10–30% of actual expenses; the bulk derives from LLM token consumption and vector database storage, making budgeting difficult. Documentation remains incomplete, and observability (the weakest link versus competitors like Dify) leaves production environments with limited visibility into execution flows. In April 2026, a critical remote-code-execution vulnerability (CVE-2025-59528, CVSS 10.0) affecting the CustomMCP node was actively exploited, exposing an estimated 12,000–15,000 publicly deployed instances; the issue was patched in v3.0.6.

Flowise excels for AI prototyping, customer-service chatbots, and document Q&A systems, but production reliability, especially for mission-critical automation, remains less battle-tested than competitors like n8n. The Workday acquisition signals enterprise-grade support and integration with their broader software platform, though the product's long-term evolution remains uncertain.

Get the AI & data signal, daily.

335k+ subscribers read this every morning. One email, both newsletters. Unsubscribe anytime.

How it works

  1. Visual Workflow Builder

    Drag-and-drop interface for designing AI agents and LLM workflows without coding; includes three builder modes: Assistant, Chatflow, and Agentflow for varying complexity levels.

  2. RAG & Vector Database Support

    Native integration with 18+ vector databases (Pinecone, Weaviate, Chroma, Qdrant, Milvus); supports PDF, document, and API-sourced data ingestion with reranking and custom retrieval chains.

  3. 100+ LLM & Integration Connections

    Pre-built nodes for OpenAI, Claude, Gemini, open-source models (Llama, Mistral), and APIs; reduces custom integration time by 50–70% for common use cases.

  4. Multi-Agent Orchestration

    Agentflow mode enables distributed, coordinated agent systems with branching, conditional logic, and tool calling across independent agents.

  5. Human-in-the-Loop (HITL)

    Built-in pause and approval nodes allow human review before agents execute actions, reducing unintended consequences in production.

  6. REST API & SDKs

    TypeScript, Python, and CLI access enable programmatic control and integration into custom applications; supports async execution and batch operations.

  7. Hybrid Deployment Options

    Self-host freely with limits on AWS, Azure, DigitalOcean, Railway; or use Workday-managed cloud with automatic scaling, monitoring, and compliance.

Strengths and trade-offs

Strengths

  • Rapid AI prototyping: 5–10x faster than hand-coded LLM orchestration for chatbots, RAG systems, and simple agents.
  • Open-source & portable: Apache 2.0 license means zero vendor lock-in; deployable anywhere without licensing constraints or API throttling.
  • Rich ecosystem: 100+ pre-built integrations reduce custom work; native support for LangChain, LlamaIndex, and LangGraph frameworks.

Trade-offs

  • Cost opacity & runaway spending: Subscription fees obscure true costs; LLM token usage and vector storage can exceed monthly plans by 2–5x without clear visibility or safeguards.
  • Critical security vulnerability (April 2026): CVE-2025-59528 RCE via CustomMCP node affected 12,000+ publicly deployed instances; requires immediate patching and introduces deployment risk for legacy versions.
  • Observability & production readiness gaps: Weakest observability versus competitors (Dify, Langflow); limited execution flow visibility, performance debugging, and failure tracking in production environments.

Pricing context

Flowise offers a freemium model with self-hosted free tier (5 production flows, 100 predictions/month) and cloud plans starting at $35/month (Starter: unlimited flows, 10k predictions), $65/month (Pro: 50k predictions, 10GB storage). Enterprise pricing is custom. However, published tiers obscure total cost: subscription covers only 10–30% of expenses; the majority derives from LLM token consumption (OpenAI charges per-token), vector database storage (Pinecone, Weaviate pricing scales with data), and infrastructure (self-hosted deployment requires $6–8/month baseline on DigitalOcean or similar).

Users report actual monthly spend 2–5x higher than subscription cost for non-trivial chatbot use cases. No published overage pricing; requires direct negotiation for high-volume deployments.

Alternatives

User reviews

No user reviews yet. Be the first to write one.

Sources

Reporting on this tool draws on these publicly available sources.

  1. flowiseai.com — Official Flowise website; confirmed founding year 2023, core features (visual builder, RAG, multi-agent, deployment options), and acquisition by Workday August 2025.
  2. docs.flowiseai.com — Flowise documentation; detailed feature descriptions, builder modes (Assistant/Chatflow/Agentflow), 100+ integrations, LLM/vector DB support, security features (RBAC, SSO), HITL mechanism, API/SDK access.
  3. github.com — GitHub repository; 53,600+ stars, Apache 2.0 license confirmation, active development (3,600+ commits), community size, and security issue tracking (CVE-2025-59528, CVE-2026-40933).
  4. newsroom.workday.com — Workday acquisition announcement August 2025; founder names (ZhenJing Heng, Chung Yau Ong), strategic rationale (enterprise AI agent builder), and post-acquisition positioning.
  5. thehackernews.com — Critical security vulnerability CVE-2025-59528 (CVSS 10.0 RCE); 12,000–15,000 exposed instances; active in-the-wild exploitation April 2026; patched in v3.0.6.
  6. www.csoonline.com — CVE-2026-40933 MCP stdio server vulnerability; arbitrary command execution risk; technical details and patch timeline.
  7. dev.to — User review covering cost unpredictability, documentation gaps, observability weaknesses, and production reliability trade-offs; 4-month hands-on evaluation.
  8. appliedai.tools — Feature summary, use cases (customer service bots, document Q&A), deployment options (self-hosted, cloud), and positioning versus competitors like n8n and Langflow.