Flowise
Visual platform for building and deploying AI agent workflows.
Pricing
Freemium
- Flowise provides modular building blocks for creating agentic systems. The platform supports workflows that range from simple compositions to autonomous agents.
- Flowise can build single-agent systems and chatbots with tool calling. It also supports knowledge retrieval from data sources for RAG-style applications.
What is Flowise?
Flowise is an open-source platform for visually building agentic AI systems. It provides modular components for workflows ranging from simple compositions to autonomous agents.
Teams can use Flowise to create multi-agent systems with coordinated workflow orchestration. It also supports single-agent applications and chatbots with tool calling and retrieval-augmented generation.
The platform includes human review within agent feedback loops and execution traces for observability. It can integrate through APIs, SDKs, and an embedded chat interface.
Flowise supports cloud and on-premises deployment for production AI applications. Its infrastructure options include horizontal scaling with message queues and workers.
Flowise has a free tier and paid Starter and Pro plans. Pricing is published as a monthly subscription with different limits and team features.
Visual agent workflows
Flowise provides modular building blocks for creating agentic systems. The platform supports workflows that range from simple compositions to autonomous agents.
- Multi-agent workflows can coordinate several agents.
Chatbots and retrieval
Flowise can build single-agent systems and chatbots with tool calling. It also supports knowledge retrieval from data sources for RAG-style applications.
- Humans can review work performed by agents in feedback loops.
Tracing and integrations
Flowise offers full execution traces for agent workflows. It supports Prometheus, OpenTelemetry, and other observability tools for monitoring applications.
- Applications can connect through APIs, SDKs, and embedded chat.
Cloud and on-premises scale
Flowise supports deploying AI applications in cloud and on-premises environments. It includes horizontal scaling through message queues and workers for production workloads.
- The platform lists support for more than 100 LLMs, embeddings, and vector databases.
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