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.
🔍 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.
