AI · alternatives · 2026
24 alternatives to I built an open source drag and drop editor for Genkit AI flows
Hi, I have been building small AI Agents for quite some time now using various frameworks and one thing that always bugged me was that iterating on small things like prompts, flows, tools etc always took a code change + deployment of the app. While the prompt part can be solved with Langfuse I haven't found a good way to keep the flow management remote (and open source). Lately I have been working with Genkit (https://github.com/firebase/genkit) and love how modular it is. So I thought why not build a UI builder on top of that that can handle simple flows, prompts and…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.
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Flows▲239If you’ve ever tried building onboarding or product adoption with Appcues, Chameleon, Userflow, WalkMe, or Usetiful, you’ve probably hit the same two problems: 1. Everything is rendered with JavaScript overlays 2. Customization is a nightmare A little backstory: When I was choosing an onboarding tool for my previous project, nothing matched what I needed. So I had to build my own. With help from IntroJS I built onboarding solution that I needed: Tooltips, Modals, custom CSS, waiting for interactions, and saving the state into the database. It worked… but it took way more time than it should…
2024 · flows.sh · its alternatives →
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FlowGenie▲212Make building forms and automating workflows feel like magic
Jan 2026 · flowgenie.pro · its alternatives →
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Flowkit 3.0▲296User flows right inside your favorite design tool
2019 · useflowkit.com · its alternatives →
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YourGPT 2.0▲215Today we are launching YourGPT 2.0, an update focused on making support, sales, and operational workflows work together more smoothly in one system. This release improves how workflows are built, how the platform connects to external tools, and how context is maintained across long, multi-channel interactions. AI Studio now makes it much easier to create and refine workflows. You can describe the process you want in natural language and the system generates the full workflow for you. It can also help debug issues by showing what happened at each step and explaining where things went off…
Nov 2025 · yourgpt.ai · its alternatives →
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PixelFlowfree tier, from $10/mo▲34Drag, Drop, Deploy: Image and Video GenAI workflows
2024 · segmind.com · its alternatives →
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BuildKit 2.0▲210BuildKit 2.0 is our attempt at making integrations feel like shadcn/ui: simple, composable, and copy-pasteable. Instead of wiring APIs by hand, you describe what you want: ``` Create me a tool called fetchGmailEmails in my Vercel AI SDK agent using BuildKit ``` …and you've got a working Gmail integration in minutes with a single prompt. * Works with Vercel AI SDK, LangChain, MCP servers * 25k+ actions across 150+ integrations Links: [Docs](https://buildkit.picaos.com/integrations) | [Video](https://x.com/katibmoe/status/1963605221856178203) We'd…
2025 · buildkit.picaos.com · its alternatives →
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I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
2024 · github.com · its alternatives →
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Hi HN, I built Prompt Builder (https://www.promptbuilder.space/) because I was frustrated managing complex AI prompts in plain text boxes. The core idea: instead of one giant textarea, you compose prompts from draggable, reorderable blocks. Each block can have its own XML/custom tags, visibility toggles (so you can A/B test sections), and duplicates. Key technical details: - Live compiled preview: the right pane shows the exact string being sent, updating as you drag/toggle blocks - Dynamic variables: define {{var_name}} once, use across blocks, change in one…
Aug 2026 · promptbuilder.space · its alternatives →
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AI Flow Chat▲19I found ChatGPT to be limiting if you're working with long chains of prompts. So I build this tool to work to have more control. The prompt nodes can only see direct connections. I've been using this tool mainly for writing articles, but I'm wondering what other use-cases this could be relevant for.
2025 · aiflowchat.com · its alternatives →
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We built an AI automation tool / app builder. Our site lets you create automations by composing "pipelines" that connect different units of functionality, including vector stores and third-party integrations. In addition to a drag-and-drop no-code editor on our website, we also wrote a Python library that allows you to create these tools through code. We'd love to hear your thoughts and feedback!
2024 · vectorshift.ai · its alternatives →
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N8N Master▲15Boost your n8n flows with AI, templates & automation tools
2025 · chromewebstore.google.com · its alternatives →
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Hey everyone! we just launched Promptly apps (https://trypromptly.com/), a no-code platform to build generative AI apps and chatbots. We allow users to build web apps and chatbots by chaining LLM APIs (we call processors) from providers like OpenAI, StabilityAI, Cohere etc, without writing any code. We also let users to bring in their own data and store it in a vector database to be used for context augmentation in their apps. Users can import data from a variety of sources including urls, sitemaps, PDFs and other file types Published apps are accessible to app's users via a…
2023 · trypromptly.com · its alternatives →
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Hi HN, Why I got tired of wasting time typing the same instructions to an LLM. "Proofread this," "Summarize that," "Translate this." What I built System Prompt: a free, open-source tool to create reusable AI workflows. It runs 100% in your browser, so your data and API keys stay with you. How Instead of always retyping "Proofread this text and correct it in a professional tone...", you create a reusable workflow in a 2 clicks. It's a node-based editor where you can add prompt nodes, AI nodes (for any model), and connect them. Everything is saved locally in your browser. GitHub:…
2025 · systemprompt.app · its alternatives →
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Heya HN, after spending +1 year building an ML-driven analytics product (that didn't pan out unfortunately), I've pivoted to solving a problem my team and I found while building the previous product … why the hell is it so hard to move a model from a Jupyter notebook, to a development server, then to a production pipeline!? To solve this my team and I started the open source KitOps project under the Apache 2 license. KitOps includes the Kit CLI that uses a Kitfile manifest to create ModelKits: 1. The kit CLI packages your model, datasets, code, and configuration into an OCI compliant…
2024 · kitops.ml · its alternatives →
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Community Plugins for Genkit (OpenAI, Groq, Anthropic, Cohere, etc) - BloomLabsInc/genkit-plugins
2024 · github.com · its alternatives →
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Hey HN! Pretty excited to show Flows— something that we’ve been working on for past few weeks! What is Flows? Flows lets you create multi-step AI workflows in minutes by chaining modular blocks like: - LLM calls - API calls, - Code execution - RAG - Document Parsing …and 50+ more tools. Why You'll Love Flows - Test Flows on your datasets—with thousands of rows effortlessly! - Deploy workflows to production and scale your AI applications. - Collaborate with your team or share workflows publicly. Which workflow would you build with Flows? Share your ideas below!
2025 · app.athina.ai · its alternatives →
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I'm the co-founder of GenseeAI (https://www.gensee.ai). We've recently launched the public beta of Gensee, an AI agent/workflow platform oriented for developers and small teams. Here’s what I’ve heard again and again: it's gotten much easier to build a proof-of-concept AI agent, but turning that prototype into a high-quality, scalable, and cost-effective product is still a massive chore, involving endless trial-and-error with prompts, models, tools, testing, analysis, etc. We built Gensee to automate that "last mile" from prototype to production. Here’s how it works: - You…
2025 · platform.gensee.ai · its alternatives →
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Every time I wanted to use LLMs in my existing pipelines the integration was very bloated, complex, and too slow. This is why I created a lightweight library that works just like scikit-learn, the flow generally follows a pipeline-like structure where you “fit” (learn) a skill from sample data or an instruction set, then “predict” (apply the skill) to new data, returning structured results. High-Level Concept Flow Your Data --> Load Skill / Learn Skill --> Create Tasks --> Run Tasks --> Structured Results --> Downstream Steps And the bast part: Every step can be saved and reused as…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →