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AI · alternatives · 2026

24 alternatives to Harbor

CLI + companion App to spin up complete local LLM stacks

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    LLMWare▲358

    Dev tool to make AI apps to deploy privately or locally

    2024 · llmware.ai · its alternatives →

  2. 2

    Hi HN A few folks and I have been working on this project for a couple weeks now. After previously working on the Docker project for a number of years (both on the container runtime and image registry side), the recent rise in open source language models made us think something similar needed to exist for large language models too. While not exactly the same as running linux containers, running LLMs shares quite a few of the same challenges. There are "base layers" (e.g. models like Llama 2), specific configuration to run correctly (parameters, temperature, context window sizes etc). There's…

    2023 · github.com · its alternatives →

  3. 3
    LM Studio▲209

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

    2025 · lmstudio.ai · its alternatives →

  4. 4
    Interlify▲247

    Connect your APIs to LLMs in minutes

    2025 · its alternatives →

  5. 5
    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 →

  6. 6

    Find your best LLM for a local inference

    2023 · its alternatives →

  7. 7
    Taylor AI▲118

    Fine-tune open source LLMs in minutes

    2023 · trytaylor.ai · its alternatives →

  8. 8

    This lets you talk to local LLMs in Apple Notes. I saw Obsidian Ollama (https://github.com/hinterdupfinger/obsidian-ollama) and thought it was handy, but I'm too lazy to migrate away from the Apple ecosystem, so I quickly hacked this together. I tend to use Notes as a scratchpad for prompts, so it's nice to do some quick inference without leaving the app. Notes doesn't really support plugins so I'm using the macOS accessibility API for reading selections and then stream responses using the clipboard (not ideal but it works).

    2024 · smallest.app · its alternatives →

  9. 9
    LLM-CLI▲13

    Cloud and local LLM AI assistant for the command line

    2025 · github.com · its alternatives →

  10. 10

    Build local LLMs using top data science libraries

    2023 · its alternatives →

  11. 11

    Proxy remote LLM API as Ollama and LM Studio, for using them in JetBrains AI Assistant - Stream29/ProxyAsLocalModel

    2025 · github.com · its alternatives →

  12. 12
    Ava PLS▲94

    Desktop app for running LLMs locally

    2023 · avapls.com · its alternatives →

  13. 13
    LLMTest▲125

    Use the right LLMs in your apps. Setup fallbacks. Be happy.

    May 2026 · llmtest.io · its alternatives →

  14. 14

    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 →

  15. 15

    I've been looking for a way to run LLMs safely without needing to approve every command. There are plenty of projects out there that run the agent in docker, but they don't always contain the dependencies that I need. Then it struck me. I already define project dependencies with mise. What if we could build a container on the fly for any project by reading the mise config? I've been using agent-en-place for a couple of weeks now, and it's working great! I'd love to hear what y'all think

    Jan 2026 · github.com · its alternatives →

  16. 16

    We used Apple Containers to run LLM generated code locally. Leverage remote LLMs (like ChatGPT or Claude Sonnet 4) to work with your local files—such as videos—securely on your Mac. The LLM runs in a sandboxed environment where it can install external libraries, generate code, and execute it locally without uploading your data to the cloud.

    2025 · github.com · its alternatives →

  17. 17

    Access all AI models you need through a single, reliable API

    2025 · llmapi.in · its alternatives →

  18. 18

    Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.

    2024 · github.com · its alternatives →

  19. 19
    LLMDog▲22

    Your code's best friend for seamless LLM conversations

    2025 · llmdog.arif.sh · its alternatives →

  20. 20

    Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…

    Mar 2026 · github.com · its alternatives →

  21. 21
    Byte▲8

    Your local AI model or API key in a customizable llm chatbox

    Jul 2026 · get-byte.app · its alternatives →

  22. 22

    LLMStack is a low-code platform that can be used to build LLM apps, chatbots and integrate AI experiences into existing products/workflows. It comes with everything out of the box that one needs to build LLM apps locally. It can also be used in a multi-tenant setting, making it available for everyone to use in an enterprise. Some highlights of the platform: - Chain multiple LLM models allowing for complex pipelines - Includes a vector database and necessary connectors to help enrich LLM responses with private data - App templates tailored to specific use cases to quickly build LLM apps…

    2023 · github.com · its alternatives →

  23. 23

    Hi HN, we're Ashpreet, Eli and Yash and we're excited to share Phidata: a collection of AI Apps built with open-source tools. While helping teams build AI products, we built templates for spinning up LLM Apps quickly. Today we're open-sourcing our templates for building: - RAG LLM Apps - Autonomous LLM Apps - Multimodal LLM Apps - Data Engineering LLM Apps Templates are built with FastApi for serving, Streamlit for prototyping, PgVector for vectors and PosgreSQL for storage. Run them locally using docker and in production on AWS - with 1 command. - Github:…

    2023 · github.com · its alternatives →

  24. 24LR

    I built localLLLM: a small community project for running local models. Live: https://locallllm.fly.dev The goal is simple: if someone has model + OS + GPU + RAM, they should get steps that actually work (ideally one liner) I need help populating and validating guides. If you run local models, please submit one working recipe (or report what failed). Would love to hear general feedback as well!

    Apr 2026 · locallllm.fly.dev · its alternatives →

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