Flowise
Flowise is an open-source, low-code platform designed to help developers and technical users build LLM applications and AI agents visually. It provides a drag-and-drop interface where users can create chatflows and agent workflows by connecting nodes for LLMs, prompts, tools, and memory components. Flowise supports a wide range of integrations including OpenAI, Anthropic, Hugging Face, local models via Ollama, vector databases such as Pinecone and Chroma, and various external APIs. Key features include the ability to quickly prototype conversational AI, build multi-agent systems, and expose flows as APIs for integration into other applications. The platform is built on Node.js and React, and can be self-hosted using Docker or run locally. It also offers an embedded chat widget that can be added to websites. Flowise is maintained by the FlowiseAI team and has gained significant popularity in the AI developer community. It is suitable for both experimentation and production use, offering flexibility for customizing agent behavior and connecting to custom tools.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Flowise solves the complexity of building and orchestrating LLM applications by providing a visual, no-code/low-code environment. It eliminates the need to write extensive boilerplate code for connecting language models, managing prompts, and integrating tools, enabling faster iteration and broader accessibility for non-programmers.
Use cases
- Building customer support chatbots
- Creating internal knowledge base Q&A agents
- Prototyping multi-agent AI workflows
- Automating data extraction and summarization tasks
- Integrating LLM capabilities into existing products via API
- Developing voice-enabled assistants
Audience
- Developers
- ML Engineers
- Data Scientists
- Product Managers
Pros
- Visual drag-and-drop interface
- Open source and free to use
- Extensive integrations with popular LLMs and tools
- Active community and regular updates
- Can be self-hosted for data privacy
Cons
- Requires technical setup for self-hosting
- Limited advanced customization without writing code
- May have a learning curve for complex agent logic
- Performance can be resource-intensive for large flows
Official website: https://github.com/FlowiseAI/Flowise
Canonical LambdaBase page: https://www.lambdabase.com/tools/flowise