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.
@henryheng94 Flowise lets makers build AI agents visually – no-code creativity unlocked. Supported it. Congrats on launch – I'm launching my product today too, feel free to check it out.
The potential for community contributions and the flexibility to build truly customized and complex AI solutions is huge. Looking forward to diving into the architecture and seeing what's possible!
Flowise is a game-changer for building AI agents—huge respect for keeping it open source! You should definitely list it on Aixyz .Co—it's free and built to spotlight tools like yours in the AI ecosystem.
In my opinion Flowise genuinely feels like the Figma of AI agents—dragging nodes around and watching the prompt logic unfold in real time is both intuitive and oddly fun. Even non-dev teammates (like me) can prototype a lead-qual bot without touching a line of code. 🙏
A few thoughts:
Versioning / staging: a Git-style history or branch system would make it safer to iterate once chains are in production.
Scale path: any best-practice guide for containerizing Flowise (Docker, K8s) so we can handle bursts of concurrent calls?
Model flexibility: a generic “custom endpoint” node would let us drop in home-grown or fine-tuned models alongside OpenAI/HF without hacky workarounds.
Our team comprises both developers and non-technical members. Flowise bridges the gap by providing a platform where everyone can contribute. The visual interface empowers non-technical team members to participate in building and refining AI applications.
@indrajit_kumar3 Glad that your entire team is able to use the platform effectvely. Do take a look at the new agent flow features launched in this version. We are available on the forums / discord if you need any help.
Been exploring Flowise for building AI agents, and it's a game-changer for anyone working with LLMs! The visual development approach makes it incredibly accessible - you can build complex AI workflows without getting lost in code.
As a developer who's worked with various AI frameworks, what stands out about Flowise is how it democratizes AI agent creation. The drag-and-drop interface doesn't sacrifice power for simplicity - you can create sophisticated LLM workflows while visualizing the entire process. Perfect for both prototyping and production.
The open-source nature is a huge plus. The codebase is clean, well-documented, and the community is actively contributing. Since their first launch in May 2023, they've consistently improved the platform, and this latest version shows how much they've matured.
Some standout features:
Visual workflow builder that actually makes sense
Extensive LLM integration options
Easy deployment options
Active community support
Completely free and open-source
The 5/5 rating is well-deserved. Whether you're a seasoned AI developer or just starting with LLMs, Flowise makes the process intuitive while maintaining the flexibility needed for complex use cases. 🔧🤖
@jason_chernofsky We don't have as much integrations as n8n does, but technically with MCP tools, you can achieve the same thing as well. Few things that differentiate us from other automation platforms:
Support streaming
Multi agents communication (agents have built in memory that can see the full context)
I was wondering if this is the same Flowise we're using to run our RAG and yup it sure is! We handle the training data aspect, let's connect I think your platform is awesome.
Replies
Flowise
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
UI Builder - Mockup tool
@henryheng94 Flowise lets makers build AI agents visually – no-code creativity unlocked. Supported it. Congrats on launch – I'm launching my product today too, feel free to check it out.
Flowise
@henryheng94 @aleksandr_heinlaid Thanks for the support. Congratulations on your product launch. We will certainly take a look at your UI Builder.
UI Builder - Mockup tool
@henryheng94 @vinod_kiran wellcome to "draw on screen" too :)
The potential for community contributions and the flexibility to build truly customized and complex AI solutions is huge. Looking forward to diving into the architecture and seeing what's possible!
Flowise
@supa_l Thanks! We have a vibrant community and lots of contributors! https://github.com/FlowiseAI/Flowise
Flowise
@supa_l Love hearing that! Can’t wait to see what you build once you dive into the architecture! 🚀
Looks great! Good luck guys 👏
Flowise
@samirrashed Thanks so much! 🙌
Flowise
@samirrashed thank you, good luck to your coming launch too!
@henryheng94 You're welcome! Waiting for your feedback
I appreciate it
Flowise is a game-changer for building AI agents—huge respect for keeping it open source! You should definitely list it on Aixyz .Co—it's free and built to spotlight tools like yours in the AI ecosystem.
Flowise
@kamruzzaman_mayed Thank you, will definitely look into it!
The design is super clean! I'll definitely give it a try. Congrats on the launch!
Flowise
@kay_arkain Lots of revisions and iterations behind the new design!
Flowise
@kay_arkain Thank you! Really appreciate the kind words, excited to hear what you think after trying it out! 😊
In my opinion Flowise genuinely feels like the Figma of AI agents—dragging nodes around and watching the prompt logic unfold in real time is both intuitive and oddly fun. Even non-dev teammates (like me) can prototype a lead-qual bot without touching a line of code. 🙏
A few thoughts:
Versioning / staging: a Git-style history or branch system would make it safer to iterate once chains are in production.
Scale path: any best-practice guide for containerizing Flowise (Docker, K8s) so we can handle bursts of concurrent calls?
Model flexibility: a generic “custom endpoint” node would let us drop in home-grown or fine-tuned models alongside OpenAI/HF without hacky workarounds.
Overall, super slick work! 🚀
Flowise
@gianmaria_caltagirone Appreciate your feedback. We are already working on some of the thoughts you have expressed.
Flowise
@gianmaria_caltagirone Thanks for the input!
1.) Versioning is coming up soon
2.) Yes! https://docs.flowiseai.com/configuration/running-flowise-using-queue
3.) It is supported already
Our team comprises both developers and non-technical members. Flowise bridges the gap by providing a platform where everyone can contribute. The visual interface empowers non-technical team members to participate in building and refining AI applications.
Flowise
@indrajit_kumar3 Glad that your entire team is able to use the platform effectvely. Do take a look at the new agent flow features launched in this version. We are available on the forums / discord if you need any help.
No-code AI workflows are a game changer! 😄
Chance AI
Been exploring Flowise for building AI agents, and it's a game-changer for anyone working with LLMs! The visual development approach makes it incredibly accessible - you can build complex AI workflows without getting lost in code.
As a developer who's worked with various AI frameworks, what stands out about Flowise is how it democratizes AI agent creation. The drag-and-drop interface doesn't sacrifice power for simplicity - you can create sophisticated LLM workflows while visualizing the entire process. Perfect for both prototyping and production.
The open-source nature is a huge plus. The codebase is clean, well-documented, and the community is actively contributing. Since their first launch in May 2023, they've consistently improved the platform, and this latest version shows how much they've matured.
Some standout features:
Visual workflow builder that actually makes sense
Extensive LLM integration options
Easy deployment options
Active community support
Completely free and open-source
The 5/5 rating is well-deserved. Whether you're a seasoned AI developer or just starting with LLMs, Flowise makes the process intuitive while maintaining the flexibility needed for complex use cases. 🔧🤖
Ask Quran
Flowise
@misbahsy Thanks man! Wouldn't be where we are today without your sharing and tutorials on Flowise!
Flowise
@misbahsy Thank you so much for sticking with us since the early days! 🙌
Looks great guys! I'm a huge fan of no-code flow-style tools.
Flowise
@bryce_york_ag Thanks a lot! Glad to hear you're a fan of no-code flow tools, hope you enjoy using Flowise! 🙌
Looks awesome. Good luck!
looks awesome! is this to be used instead of or in tandem with n8n?
Flowise
@jason_chernofsky We don't have as much integrations as n8n does, but technically with MCP tools, you can achieve the same thing as well. Few things that differentiate us from other automation platforms:
Support streaming
Multi agents communication (agents have built in memory that can see the full context)
Shared state
Memory optimization, tool calling, structured output, RAG
Human in the Loop
Agentflow is Agentic-first, meaning it is built for designing single/multi agents architecture and workflows.
NoteThisDown
We're using Flowise since more than a year, it's really useful!
Looking forward to see the changes in Agents Flow v2.
If you ever wanted to know how to self host Flowise, here's a video (1 year old but not outdated at all!):
Looks promising — I’ll explore it further. Based on what I’ve seen so far, it seems like the best product on the list
Flowise
@umar_naseer1 Thank you! Really glad to hear that!
I was wondering if this is the same Flowise we're using to run our RAG and yup it sure is! We handle the training data aspect, let's connect I think your platform is awesome.