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AI · alternatives · 2026

24 alternatives to WindyFlo.com

Low-code LLM apps builder

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. WindyFlo.com launched in 2024; newer entries below may have overtaken it.

  1. 1

    Build LLM apps and plug AI into your team's operations

    2023 · n8n.io · its alternatives →

  2. 2

    The low-code platform for testing AI apps

    2024 · langtail.com · its alternatives →

  3. 3
    Gradient▲153

    Developer API for building private LLMs that you own

    2023 · hyperagent.com · its alternatives →

  4. 4
    LLMWare▲358

    Dev tool to make AI apps to deploy privately or locally

    2024 · llmware.ai · its alternatives →

  5. 5
    LangSmith▲350

    Build and deploy LLM applications with confidence

    2023 · langchain.com · its alternatives →

  6. 6
    Llama 2▲263

    The next generation of Meta's open source LLM

    2023 · developer.meta.com · its alternatives →

  7. 7
    LLM Gatewayfree tier▲296

    I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

    2025 · llmgateway.io · its alternatives →

  8. 8

    Any process to AI with all LLM models

    2024 · officely.ai · its alternatives →

  9. 9

    Hi HN! Over the last several weekends, I've been building LLMFlows as an alternative to langchain. There's been a lot of discussion on the shortcomings of langchain in the past few weeks, but when I first tried it in March, I thought there are 3 main problems: 1. Too many abstractions 2. Hidden prompts and opinionated logic in chains which makes it hard to customize 3. Hard to debug This inspired me to try and build a framework that solves these 3 issues, and therefore I started building LLFlows with the "philosophy" of being "simple, explicit, and transparent." A few weekends later, I think…

    2023 · github.com · its alternatives →

  10. 10
    DemoGPT▲94

    Auto generative AI app generator with the power of Llama 2

    2023 · github.com · its alternatives →

  11. 11
    Apollo AI▲280

    Run local models like Llama on iOS

    2025 · apps.apple.com · its alternatives →

  12. 12
    LM Studio▲209

    Discover, download, and run local LLMs (incl. DeepSeek R1)

    2025 · lmstudio.ai · its alternatives →

  13. 13
    Arch▲314

    Hey HN — I’m Adil from Katanemo (with Salman, Shuguang, and Meiyu) We previously shared an early version of this project as ArchGW. Based on customer feedback, the scope expanded from “LLM routing and model access” into something broader: delivery infrastructure for agentic applications. We renamed it to Plano and reworked the architecture accordingly. The problem On-the-ground AI practitioners will tell you that calling an LLM is not the hard part. The really hard part is delivering agentic applications to production quickly and reliably, then iterating without rewriting system code every…

    2024 · github.com · its alternatives →

  14. 14

    Vibe-check many open-source and proprietary LLMs at once

    2024 · its alternatives →

  15. 15

    Hey HN, We've been building a multi-model API for LLMs called OpenRouter since we launched the Window AI extension in April this year [0]. The events of the last week make it clear the LLM landscape is unpredictable, so LLM aggregators are picking up interest. Unlike others, we're making a router on top of a public, explorable dataset. We recently built a way to rank and visualize this data, including the token counts we see going to and from different models, both open-sourced (like Llama, Mistral, finetunes, and variants) and closed-sourced (OpenAI, Anthropic). The API supports - 50+…

    Apr 2026 · openrouter.ai · its alternatives →

  16. 16

    Recently featured in a LangChain blog https://blog.langchain.dev/empowering-development-with-flowt... , use LLMs to construct an API first runnable workflow with an IDE experience.

    2024 · github.com · its alternatives →

  17. 17

    The easiest way to do output iteration with Llama 3.1 405B

    2024 · respan.ai · its alternatives →

  18. 18

    Build local LLMs using top data science libraries

    2023 · its alternatives →

  19. 19
    Langflow▲139

    Low-Code RAG and Multi-Agent AI Development

    2025 · langflow.org · its alternatives →

  20. 20

    G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…

    2023 · github.com · its alternatives →

  21. 21
    Taylor AI▲118

    Fine-tune open source LLMs in minutes

    2023 · trytaylor.ai · its alternatives →

  22. 22

    No-code multi-agent framework to build LLM Agents, workflows and applications with your data - trypromptly/LLMStack

    2023 · github.com · its alternatives →

  23. 23

    Design, deploy, and optimize Generative AI Apps

    2023 · klu.ai · its alternatives →

  24. 24

    The from-scratch guide to building large language models in NodeJS.

    10d ago · book.humanexperiences.io · 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 →