ollama
Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (by ollama)
cortex.cpp
Local AI API Platform (by menloresearch)
| ollama | cortex.cpp | |
|---|---|---|
| 750 | 10 | |
| 173,924 | 2,764 | |
| 2.0% | - | |
| 9.9 | 9.9 | |
| about 13 hours ago | 11 months ago | |
| Go | C++ | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ollama
Posts with mentions or reviews of ollama.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-06-08.
-
Set Up Your Own ChatGPT: Ollama + Open WebUI for Data That Never
Download: Go to https://ollama.com/ and click on the download link for your operating system.
-
I Built a Free, Fully Local AI Resume Builder — No Subscriptions, No Cloud, No Catch
Most AI resume tools call out to OpenAI or Anthropic and charge you for every request. Persona supports Ollama — which means you can run the AI model locally on your own hardware, with zero API costs and zero data leaving your machine.
-
Sovereign Synapse: The Local Brain
To solve these, we built a stack that prioritizes integrity over ease. The centerpiece is Ollama, running the mxbai-embed-large model locally. This is the engine that translates human thought into high-dimensional coordinates.
-
How I Built a Self-Funding AI Lab: From Hobby to Side Income in 6 Months
Ollama for model serving
-
Flat Chat Threads Suck for Reading Books. So I Built a Local-First AI Tree Companion.
Fully offline: Point it at Ollama or LM Studio. Zero cost, nothing leaves your network.
-
Local LLM Hardware Requirements in 2026: What You Actually Need for Every Model Tier [Guide]
Recommended hardware: The RTX 3060 with 12 GB VRAM is the budget king here — all these models fit with room to spare for KV cache overhead, even Gemma 4:12B (which needs ~8.5–9 GB with overhead). An RTX 4060 Ti 16 GB gives you more headroom. On the Apple side, any M2 or M3 MacBook with 16 GB unified memory handles these models comfortably via Ollama's Metal backend.
-
Run Coding Agents on Local AI — Zero Cloud, Full Control
This guide shows how to swap out every cloud API with a local Ollama server running qwen3-coder:30b. Same tools, same workflows, no data leaving your network.
-
Running Brand-New Gemma 4 12B on an 8-Year-Old GTX 1080 Ti: Speed, 3 Gotchas, and Why Q8 Beat Q4 on My Own Field
Related: 35B MoE on 2× 1080 Ti · Ollama
-
Agent Skills in Microsoft Agent Framework
The sample is a tiny console app running entirely against a local Ollama model — no cloud keys, and every HTTP call is traced so I can see exactly what goes over the wire (complete sample code). There's a single skill on disk:
-
Quick and easy local AI RAG setup with JetBrains IDE integration and browser UI
irm https://ollama.com/install.ps1 | iex
cortex.cpp
Posts with mentions or reviews of cortex.cpp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-01-31.
-
Llama.cpp supports Vulkan. why doesn't Ollama?
There is https://cortex.so/ that I’m looking forward too.
-
Neovim: My Setup for Developer Assistant with Local Language Models
This is the one you are looking for. https://github.com/janhq/cortex
-
Introducing Jan
Jan incorporates a lightweight, built-in inference server called Nitro. Nitro supports both llama.cpp and NVIDIA's TensorRT-LLM engines. This means many open LLMs in the GGUF format are supported. Jan's Model Hub is designed for easy installation of pre-configured models but it also allows you to install virtually any model from Hugging Face or even your own.
-
Ollama Python and JavaScript Libraries
I'd like to see a comparison to nitro https://github.com/janhq/nitro which has been fantastic for running a local LLM.
- FLaNK Weekly 08 Jan 2024
- Nitro: A fast, lightweight 3MB inference server with OpenAI-Compatible API
- Apple Silicon Llama 7B running in docker?
- Is there any LLM that can be installed with out python
What are some alternatives?
When comparing ollama and cortex.cpp you can also consider the following projects:
koboldcpp - Run GGUF models easily with a KoboldAI UI. One File. Zero Install.
gen.nvim - Neovim plugin to generate text using LLMs with customizable prompts
SillyTavern - LLM Frontend for Power Users.
jan - Jan is an open source alternative to ChatGPT that runs 100% offline on your computer.
textgen - Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
nitro - Next Generation Server Toolkit. Create web servers with everything you need and deploy them wherever you prefer.