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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Go manage your Ollama models
| Date | Stars |
|---|---|
| 2026-07-31 | 1826 |
| 2026-08-01 | 1827 |
| 2026-08-04 | 1827 |
| 2026-08-05 | 1828 |
| 2026-08-06 | 1828 |
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# Gollama  Gollama is a macOS / Linux tool for managing Ollama models. It provides a TUI (Text User Interface) for listing, inspecting, deleting, copying, and pushing Ollama models. The application allows users to interactively select models, sort, filter, edit, run, unload and perform actions on them using hotkeys.  ## Table of Contents - [Table of Contents](#table-of-contents) - [Features](#features) - [Update \[2025-12-02\]: Removal of LM Studio linking \& Gollama maintenance slowing](#update-2025-12-02-removal-of-lm-studio-linking--gollama-maintenance-slowing) - [Installation](#installation) - [go install (recommended)](#go-install-recommended) - [curl](#curl) - [Manually](#manually) - [if "command not found: gollama"](#if-command-not-found-gollama) - [Usage](#usage) - [Key Bindings](#key-bindings) - [Configuration](#configuration) - [Installation and build from source](#installation-and-build-from-source) - [Themes](#themes) - [Logging](#logging) - [Contributing](#contributing) - [Acknowledgements](#acknowledgements) - [License](#license) ## Features Gollama is a tool for managing Ollama models with an easy-to-use interface. It's in active development, so there are some bugs and missing features, however I'm finding it useful for managing my models every day, especially for cleaning up old models. - List available models - Display metadata such as size, quantisation level, model family, and modified date - Edit / update a model's Modelfile - Sort models by name, size, modification date, quantisation level, family etc - Select and delete models - Run and unload models - Inspect model for additional details - Calculate approximate vRAM usage for a model - Copy / rename models - Push models to a registry - Show running models - Has some cool bugs See also - [ingest](https://github.com/sammcj/ingest) for passing directories/repos of code to markdown formatted for LLMs. --- ### Update [2025-12-02]: Removal of LM Studio linking & Gollama maintenance slowing As of the [v2.0.1 release](https://github.com/sammcj/gollama/releases/tag/v2.0.1) of Gollama, LM Studio linking will no longer be available. Linking from/to LM Studio became more hassle to maintain than it was worth. Ongoing changes to both upstream applications and trying to cater for each users local configuration meant investing too much of my time for a feature I rarely used. I'm simply not dog-fooding with Ollama enough. This has meant that development has slowed down as I focus on other projects. I was an early adopter and contributor to Ollama, but the value I got from Ollama has diminished throughout 2025 to the point where I rarely ever use it. For model serving I have mostly moved to llama.cpp running with [llama-swap](https://github.com/mostlygeek/llama-swap). Llama.cpp has become far more user friendly over the past year, the project is well maintained, easier to configure, with _many_ more features and _significantly_ better performance. For serving models on my laptop I use [LM Studio](https://lmstudio.ai) as it provides both MLX models and the standard llama.cpp runtime for GGUF models, in addition to [oMLX](https://github.com/jundot/omlx) which has been great for serving MLX models locally for agentic coding with tools like Pi or OpenCode. --- ## Installation ### go install (recommended) ```shell go install github.com/sammcj/gollama/v2@latest ``` ### curl I don't recommend this method as it's not as easy to update, but you can use the following command: ```shell curl -sL https://raw.githubusercontent.com/sammcj/gollama/refs/heads/main/scripts/install.sh | bash ``` ### Manually Download the most recent release from the [releases page](https://github.com/sammcj/gollama/releases) and extract the binary to a directory in your PATH. e.g. `zip -d gollama*.zip -d gollama && mv gollama /usr/local/bin` ### if "command not found: gollama" If you see this error, add envir
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Sam · @DigIO · Australia
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:06bad934169101f8, topic:llm