Flowise 3.0

For the first time, anyone can build AI agents from just an idea. Simply describe what you want to create, and a draft will be generated for you.

Flowise provides modular building blocks for you to build any agentic systems, from simple compositional workflows to autonomous agents. Some common patterns are:

• Chaining
• Routing
• Parallelization
• Hierarchy
• Looping
• Iteration

Each LLM/Agent has the following augmentations to enable flexible multi agents architecture:

• Memory
• Retrieval(RAG)
• Tool
• Centralized State
• Structured Output

🙋‍♂️ Human in the Loop:

This is a core aspect of an agentic system, allowing humans to review tasks performed by agents, or to approve/reject tool calls by agents. For example, reviewing actions before sending an email or booking an appointment.

📝 Form Input:

In addition to the standard chat interface, workflows can also be triggered through a form-based interface. This is ideal for workflows that don't require back-and-forth communication between the user and agents.

🔍 Evals & Observability:

Gain full visibility into execution traces to debug issues and optimize performance. You can share traces publicly, allowing others to review, approve, or provide feedback.

✅ Flow Validation:

Designing complex workflows can be challenging. Flow validation helps minimize misconfigurations and human errors by automatically checking for common issues.

Everything is open source, give a star on our Github repo ✨

Or try it out for free on Flowise Cloud ☁️