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.
Flowise launched on Product Hunt on May 15th, 2025 and earned 268 upvotes and 32 comments, placing #5 on the daily leaderboard. Open source Generative AI development platform for building AI agents & LLM workflows.
On the analytics side, Flowise competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Flowise performed against the three products that launched closest to it on the same day.
Who hunted Flowise?
Flowise was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Garry Tan
Introducing 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.
🔍 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.
And the best part? Everything is open source.
Or try it out for free on Flowise Cloud