Flowise
Flowise is an open-source, low-code platform for building AI agents, chatbots, and LLM workflows through a visual drag-and-drop interface. Built on top of LangChain, it allows developers and non-developers to compose agents, RAG pipelines, and multi-agent systems by connecting modular nodes on a visual canvas. Flowise significantly lowers the barrier to creating sophisticated AI workflows.
Visual Builder
The Node Editor is the primary interface where users drag and drop pre-built components from a Component Library onto a canvas. Components include:
LLMs: GPT-4o,
Claude, Gemini, Llama, Mistral, and other models
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Tools: Web search APIs, CRM integrations, database connectors, email services
Memory Systems: Short-term conversation memory, long-term vector storage, hybrid options
Document Loaders: PDF, CSV, web scrapers,
API connectors
Users configure inputs (chat, API calls, file uploads), processing (LLM chains and tools), and outputs (JSON, text, API payloads) with real-time testing, tracing, and debugging.
Three Builder Modes
Chatflow: Conversational pipelines with memory management, token tracking, caching, and guardrails. Supports short-term memory for context, long-term vector storage for knowledge, and human-in-the-loop approval steps.
Agentflow: Multi-agent systems with supervisor-worker patterns. Supports native agent-to-agent communication, conflict resolution, dynamic role assignment, and complex orchestration patterns.
Assistant: Rapid prototyping mode for quickly creating AI assistants with minimal configuration.
Key Features
Performance: Handles 1,000 concurrent connections with 150ms overhead and 200-300MB memory footprint
Deployment: Local, Docker, Kubernetes, or serverless; production-ready
API endpoints with authentication and rate limiting
Embeddable Widgets: Chat widgets for embedding in websites;
API/SDK access for programmatic control
Version Control: Git-style versioning for flows
Real-time Collaboration: Multiple users can work on flows simultaneously
Cost Optimization: 40-60% LLM cost savings via intelligent caching, deduplication, and model switching
Guardrails: Content filtering, hallucination detection, and
human-in-the-loop checkpoints
Self-hosting: As low as $6-8/month vs. $500-5,000 for hosted alternatives
Integrations
Flowise connects with numerous external services via API endpoints and pre-built nodes:
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Vector databases and document stores
Third-party APIs (CRM, ticketing, analytics platforms)
Platforms like Bubble.io via REST
API Proxy support for hiding
API keys from client applications
Use Cases
Customer support chatbots with RAG-powered knowledge bases
Research agents with multi-step web search and analysis
Internal copilots for enterprise documentation
Data analysis pipelines with database integration
Embedded AI experiences in existing web applications
Related Pages
See Also
References