Dev tools · alternatives · 2026
24 alternatives to Cloud-native Stack for Ollama - Build locally and push to deploy
Ollama Cloud is a Highly Scalable Cloud-native Stack for Ollama - ollama-cloud/get-started
Cloud-native Stack for Ollama is a development tool that enables developers to build machine learning models locally using Ollama and deploy them to cloud environments. It streamlines the workflow from local… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Cloud-native Stack for Ollama - Build locally and push to deploy launched in 2024; newer entries below may have overtaken it.
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Ollama v0.19▲410Massive local model speedup on Apple Silicon with MLX
Apr 2026 · ollama.com · its alternatives →
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Complete AI Platform: RAG Systems & Intelligent Agents for Local AI
2025 · rlama.dev · its alternatives →
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1Code▲569Just to clarify the background a bit. This project wasn’t planned as a big standalone release at first. On January 16, Ollama added support for an Anthropic-compatible API, and I was curious how far this could be pushed in practice. I decided to try plugging local Ollama models directly into a Claude Code-style workflow and see if it would actually work end to end. Here is the release note from Ollama that made this possible: https://ollama.com/blog/claude Technically, what I do is pretty straightforward: - Detect which local models are available in Ollama. - When…
Jan 2026 · github.com · its alternatives →
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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 →
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Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones. Ollama enables deploying LLMs models locally on laptops and edge severs, Cactus enables deploying on phones. Deploying directly on phones facilitates building AI apps and agents capable of phone use without breaking privacy, supports real-time inference with no latency, we have seen personalised RAG pipelines for users and more. Apple and Google actively went into local AI models recently with the launch of Apple Foundation Frameworks…
2025 · github.com · its alternatives →
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Ollama▲235The easiest way to run large language models locally
2023 · github.com · its alternatives →
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NativeMind▲468Your fully private, open-source, on-device AI assistant
2025 · nativemind.app · its alternatives →
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Run leading vision models locally with the new engine
2025 · ollama.com · its alternatives →
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Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference. - kossisoroyce/timber
Mar 2026 · github.com · its alternatives →
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Native Swift apps + a real cloud database. One prompt away.
Mar 2026 · nativeline.ai · its alternatives →
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Source: https://github.com/tcsenpai/spacellama
2024 · addons.mozilla.org · its alternatives →
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x ollama - The command-line client tool for Ollama, an open-source framework for running large language models locally.
2024 · x-cmd.com · its alternatives →
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Prisma Cloud is the most complete Cloud Native Application Protection Platform (CNAPP) for code to cloud security in any cloud, multicloud, and hybrid environment.
2017 · twistlock.com · its alternatives →
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Hi HN! We’re Yann, Edouard, and Bastien from Koyeb (https://www.koyeb.com/). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As…
2023 · koyeb.com · its alternatives →
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Billy.sh▲81Local AI coding assistant for your terminal using Ollama
Mar 2026 · billysh.online · its alternatives →
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Hi HN, I'm excited to introduce OllaMan, a desktop application designed to streamline your workflow with Ollama local AI models. If you're already using Ollama, you've likely experienced its power in running large language models (LLMs) locally. However, managing models, switching between them, and engaging in conversations often requires frequent command-line interaction, which can be inefficient and less intuitive for many users. OllaMan aims to solve these pain points by providing an intuitive and elegant graphical user interface (GUI), especially tailored for macOS users, adhering to…
2025 · ollaman.com · its alternatives →
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I built a desktop app (PyQt6, Windows) that orchestrates multiple AI models in a 3-phase pipeline: Phase 1 – A cloud LLM (Claude/GPT/Gemini) decomposes the prompt into structured sub-tasks Phase 2 – Local Ollama models process each sub-task (free, private, runs on your GPU) Phase 3 – The cloud LLM integrates the results into a coherent final answer The motivation: cloud APIs are great at reasoning and structure but cost money. Local Ollama models are free but sometimes inconsistent. The pipeline lets you use each where it's strongest. Also includes: - FastAPI + React web UI…
Mar 2026 · github.com · its alternatives →
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Klotho - write AWS applications at lightning speed - klothoplatform/klotho
2023 · github.com · its alternatives →
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Stacksync▲68The first AI-native Enterprise Integration Platform.
Jan 2026 · stacksync.com · its alternatives →
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