Home/Compare/aikit vs gollama

Comparison

aikit vs gollama

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).

Markdown twin · aikit alternatives · gollama alternatives

GraphCanon updated Sep 20, 2026

8views this month

aikit logo

aikit

kaito-project/aikit

539pushed Sep 18, 2026
vs
gollama logo

gollama

sammcj/gollama

1.8kpushed Jul 20, 2026

Trust & integrity

Signalaikitgollama
Maintenance
Very active (0d since push)
As of Sep 19, 2026 · github_public_v1
Steady (61d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 19, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
Published findings
As of Jul 15, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

aikit
Fine-tune, build, and deploy open-source LLMs easily!
gollama
Go manage your Ollama models

Stars

aikit
539
gollama
1.8k

Forks

aikit
57
gollama
113

Open issues

aikit
37
gollama
2

Language

aikit
Go
gollama
Go

Adopt for

aikit
Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
gollama
gollama is an application written in Go that enables management of Ollama models using Terminal User Interfaces (TUI).

Persona

aikit
-
gollama
-

Runtime

aikit
-
gollama
-

License

aikit
MIT
gollama
MIT License allows for free use and modification under the terms of the license agreement provided with the software.

Last pushed

aikit
Sep 18, 2026
gollama
Jul 20, 2026

Categories

aikit
Inference & Serving, LLM Frameworks, Model Training
gollama
Developer Tools, LLM Frameworks

Trust and health

Maintenance

aikit
Very active (96%)
gollama
Steady (60%)

Days since push

aikit
0d
gollama
61d

Open issues (now)

aikit
37
gollama
2

Open issues delta

aikit
-6 (30d)
gollama
+1 (30d)

Owner type

aikit
Organization
gollama
User

OSV dependency advisories

aikit
No lockfile (source not queried)
gollama
Published findings

Full report

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.

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.

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: aikit 539 · gollama 1.8k (synced Sep 19, 2026).

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 and gollama alternatives (aikit markdown twin, gollama markdown twin), 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 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; gollama trust report.

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