--- title: "aikit vs gollama" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kaito-project-aikit-vs-sammcj-gollama" tools: ["kaito-project-aikit", "sammcj-gollama"] --- # aikit vs gollama *GraphCanon updated Sep 20, 2026* ## Verdict Pick aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies; pick gollama if gollama is an application written in Go that enables management of Ollama models using Terminal User Interfaces (TUI). [aikit](https://kaito-project.github.io/aikit/) reports 539 GitHub stars, 57 forks, and 37 open issues, last pushed Sep 18, 2026. [gollama](https://smcleod.net) has 1.8k stars, 113 forks, and 2 open issues, last pushed Jul 20, 2026. Figures are from public GitHub metadata via [aikit's repository](https://github.com/kaito-project/aikit) and [gollama's repository](https://github.com/sammcj/gollama). | | [aikit](/tools/kaito-project-aikit.md) | [gollama](/tools/sammcj-gollama.md) | | --- | --- | --- | | Tagline | Fine-tune, build, and deploy open-source LLMs easily! | Go manage your Ollama models | | Stars | 539 | 1,837 | | Forks | 57 | 113 | | Open issues | 37 | 2 | | Language | Go | Go | | Adopt for | Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. | gollama is an application written in Go that enables management of Ollama models using Terminal User Interfaces (TUI). | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License allows for free use and modification under the terms of the license agreement provided with the software. | | Categories | Inference & Serving, LLM Frameworks, Model Training | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aikit](/tools/kaito-project-aikit.md) | [gollama](/tools/sammcj-gollama.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 61d | | Open issues (now) | 37 | 2 | | Open issues delta | -6 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/kaito-project-aikit/trust.md) | [trust report](/tools/sammcj-gollama/trust.md) | ## Decision facts: aikit - **Adopt for:** Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies. ## Decision facts: gollama - **Adopt for:** gollama is an application written in Go that enables management of Ollama models using Terminal User Interfaces (TUI). - **License detail:** MIT License allows for free use and modification under the terms of the license agreement provided with the software. ## Choose when ### Choose aikit if… - Tags unique to aikit: buildkit, chatgpt, docker, fine-tuning. - Also covers Inference & Serving, Model Training. - aikit ships Docker support for self-hosted deployment. - - You need a flexible solution specifically built using Go and prefer its concurrency model. ### Choose gollama if… - Tags unique to gollama: ggml, gguf, linux, llm. - Also covers Developer Tools. - Use gollama when you work with Ollama models and prefer tools built using Go. ## When NOT to use aikit - - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ## When NOT to use gollama - Do not use gollama if your development environment does not support Go or requires a web-based UI instead of TUI. - Avoid using gollama when working with non-Ollama models, as it is specifically designed to manage Ollama models only. ## Common questions ### What is the difference between aikit and gollama? aikit: Fine-tune, build, and deploy open-source LLMs easily!. gollama: Go manage your Ollama models. See the comparison table for live GitHub stats and shared categories. ### When should I choose aikit over gollama? Choose aikit over gollama when Tags unique to aikit: buildkit, chatgpt, docker, fine-tuning; Also covers Inference & Serving, Model Training; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model. ### When should I choose gollama over aikit? Choose gollama over aikit when Tags unique to gollama: ggml, gguf, linux, llm; Also covers Developer Tools; Use gollama when you work with Ollama models and prefer tools built using Go. ### When should I avoid aikit? - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these. ### When should I avoid gollama? Do not use gollama if your development environment does not support Go or requires a web-based UI instead of TUI. Avoid using gollama when working with non-Ollama models, as it is specifically designed to manage Ollama models only. ### Is aikit or gollama more popular on GitHub? gollama has more GitHub stars (1,837 vs 539). Stars measure visibility, not whether either tool fits your constraints. ### Are aikit and gollama open source? Yes - both are open-source projects on GitHub (aikit: MIT, gollama: MIT). ### Where can I find alternatives to aikit or gollama? GraphCanon lists graph-backed alternatives at [aikit alternatives](/tools/kaito-project-aikit/alternatives) and [gollama alternatives](/tools/sammcj-gollama/alternatives) ([aikit markdown twin](/tools/kaito-project-aikit/alternatives.md), [gollama markdown twin](/tools/sammcj-gollama/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kaito-project-aikit-vs-sammcj-gollama.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aikit or gollama? aikit: Very active. gollama: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for aikit and gollama? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aikit trust report](/tools/kaito-project-aikit/trust); [gollama trust report](/tools/sammcj-gollama/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kaito-project-aikit`](/api/graphcanon/graph?tool=kaito-project-aikit) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_