Momen is a full-stack no-code web app builder featuring an integrated AI agent development framework. You can build and deploy your MVP with vastly reduced time-to-market, then iterate and scale on the same platform. Momen allows you to customize workflows, integrate APIs, and create AI agents tailored for your business, all supported by a performant backend.
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Congrats! Momen looks fantastic. No-code web app development tools are definitely the wave of the future, empowering more people to bring their ideas to life without needing extensive coding knowledge. Keep up the great work, team!
@cen_xu Thanks! When we started in 2020, that's what we had in mind, too. Building most products should not have such tremendous technical barrier to entry. And I think we are finally delivering on that promise!
@baba_aghayev1 yes. Momen is here to help founders (especially non technical founders) to build and scale their MVPs. Our goal is to reduce time and cost to market!
Perfect timing! Was just explaining to a client why their 'quick MVP' would still take 2 months to build 😅 Been bouncing between Figma and like 5 different no-code tools lately just to get basic AI features working. Quick q - how deep can you go with the AI stuff without touching code? Got a chatbot project coming up and really don't want to explain another tech delay to stakeholders.
@thealisoneyo You can set up complex AI agents (RAG + tool utilization) without code. But the "chatbot-like" frontend integration is still lacking. We do already have streaming subscription on the backend though that UI configuration is not yet available.
We are happy to work with you to design a solution.
You can also check out a livestream I made a few weeks ago on this topic: https://youtu.be/zSWYFKaJ3i4?si=...
@ihuzaifashoukat It is a combination of the following features:
1. Model configuration. Currently we only support gpt3.5 turbo and gpt4o. We should have bring-your-own-model by the end of the month.
2. Input manager. This lets you define external inputs into your agent. Those external inputs can be passed in on the frontend or inside an Actionflow (our name for backend workflow).
3. Prompt template. You bind inputs / other accessible values such as current time into a block of text.
4. RAG. Compliment the data your agent has access to by fetching them from database (using both sql and vector similarity search) and APIs. We may add agentic retrieval in the future.
5. Tools. You can pick APIs, Actionflows or even other AIs that you have configured in your project. They are then considered by the Agent for invocation dynamically at runtime. We do have support for human-in-the-loop, although that feature is poorly designed and does not quite work as what I intended.
6. Output configuration. You can switch between streaming string output or fully-typed structured JSON output. These JSON can then be used in a structured fashion, such as as input to Actionflows or used to modify the user interface (e.g. true = green light and false = red light)
We also built a debugger right next to the AI agent builder. The actual data produced (all the prompts and tool invocations) by this agent is also accessible in the AI agent tab.
I have tried mmntm.me before, which was also a good MVP validation tool, but it seems not working now. The name 'momen' reminds me of it. Is there any connection between you two?
@chloeyang1990 i have never come across mmntm.me, so no. the name momen came about because we wanted to build something so that founders can have their MVP "in a moment", but moment is difficult for SEO and domains with moment are too expensive lol. we would rather keep the investment in engineering! we have invested between 100k and 200k engineering hours, roughly.
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@jiangyaokai , congratulations on launching Momen! I'm curious about the integration of the AI agent within the platform. How does it assist users in building their MVPs? Additionally, what kind of support or resources do you offer for non-technical users who might find the tool overwhelming at first? I’m excited to explore Momen but would love to hear more about how you address these challenges!
@qixing_zhong What we offer is an integrated AI agent builder. We do not have any AI assistance for our developers at the moment. It is something we will tackle next year.
In terms of support, we are lacking in this regard. Docs and youtube are your best bets at the moment. We are working on more video tutorials at the moment.
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