Alternatives

Products that do what Aqueduct does

The easiest way to run open source LLMs

1
LM Studio▲209
Discover, download, and run local LLMs (incl. DeepSeek R1)
2025
2
AskCodi▲230
Custom LLMs, without training. Use via openai compatible api
Nov 2025
3
Taylor AI▲118
Fine-tune open source LLMs in minutes
2023
4
Local LLMs by Sttabot AI▲112
Build local LLMs using top data science libraries
2023
5
Kolosal AI▲159
Train and run LLMs on your device
2025
6
ChattyUI▲149
Run open-source LLMs locally in the browser using WebGPU
2024
7
Aqueduct▲87
Taking data science to production
2022
8
GPT Router▲211
Avoid OpenAI downtimes - one API for 30+ LLMs
2023
9
Supervised app▲238
Build LLMs powered by GPT & your own data
2023
10
Interlify▲247
Connect your APIs to LLMs in minutes
2025
11
Airtrain.ai LLM Playground▲246
Vibe-check many open-source and proprietary LLMs at once
2024
12
Gradient▲153
Developer API for building private LLMs that you own
2023
13
l1m.io▲135
The simplest API to get structured data from any LLM
2025
14
TensorPool▲192
The easiest way to use cloud GPUs
2025
15
Mammouth▲190
Get access to the best LLMs in one place for 10€
2024
16
liteLLM▲120
One library to standardize all LLM APIs
2023
17
BenchLLM by V7▲133
Test-driven development for LLMs
2023
18
Cloudways Managed AI Agents▲84
Skip the setup and run OpenClaw & Hermes, fully managed
17d ago · cloudways.com
19
OpenClawCloud▲85
The turn key OpenClaw solution with unlimited LLM tokens
Mar 2026
20
Perssua▲61
Real-time guidance from any LLM (including local ones)
Nov 2025
21LN
Llmpm – NPM for LLMs▲6
npm for LLMs — install, run, and share AI models. We’ve built llmpm, a CLI tool that makes open-source LLMs installable like packages. llmpm install llama3 llmpm run llama3 You can also package models with your projects so others can reproduce the same setup easily. Website: https://llmpm.co GitHub:https://github.com/llmpm/llmpm-dev
Mar 2026 · llmpm.co
22IB
I built an open-source answer engine that runs local LLMs▲5
hey hn, I built an open-source Perplexity clone that can run local LLMs and cloud LLMs. It's fully self-hostable through Docker and uses ollama to support local LLMs. The demo video in the repository shows me running it locally with llama3 on my M1 Macbook Pro. I'm open to any suggestions or feedback, thanks!
2024 · github.com
23XR
Xybrid – run LLM and speech locally in your app (no back end, Rust)▲6
Hi HN, We built Xybrid, a Rust library for running LLM + speech pipelines directly inside your app, no server, no daemon, just one binary. We started building it while working on a privacy-focused LLM app with Tauri and realized there wasn’t a straightforward way to embed models directly into shipped applications without relying on a separate server process. Xybrid links into your process like any other library. It supports GGUF / ONNX / CoreML and integrates with Flutter, Swift, Kotlin, Unity, and Tauri, letting you run pipelines like speech → LLM → speech in a single call. On…
Mar 2026 · github.com
24OA
OSS app to find LLMs across multiple LLM providers (Azure, AWS, etc.)▲8
Scenario: Your company’s IT department says “good news, you have access to azure, aws, openai, mistral, and together AI, here are the API keys”. You think “yippee I can access many models”, but some models like the gpt-oss or Mistral are available on some or all of those platforms? That’s where this app comes in: run it and it will check all the providers that you have configured and then you can search across those providers to see which providers have the model you want available. Built on top of mozilla.ai any-llm library. Check out the link for a GIF showing it in action.
Sep 2025 · github.com

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