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aikit

kaito-project/aikit

Fine-tune, build, and deploy open-source LLMs easily!

GraphCanon updated 3w · GitHub synced 3w · 31 views this month

534 stars57 forksLast push 1mo Go MIT

Decision brief

Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.

Good fit when

  • - You need a flexible solution specifically built using Go and prefer its concurrency model.
  • - Your project requires integration with Kubernetes and Docker environments for managing containerized LLM services, as Aikit supports these natively.

Avoid when

  • - 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.

Observed Jul 12, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (4d since push)
As of 3w
Provenance
Not a fork · Organization account
As of 3w
Security (OSV)
No lockfile
As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

go get github.com/kaito-project/aikit
pkg.go.dev

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Aikit is a toolkit for working with large language models, providing capabilities for fine-tuning, building and deploying open-source LLMS.

Capability facts

Deploy
Self-host

Source: dockerfile:Dockerfile · Jul 25, 2026

Docker
Dockerfile present

Source: dockerfile:Dockerfile · Jul 25, 2026

Languages
go

Source: github.language · Jul 25, 2026

Categories

Tags

README

Quick Start

You can get started with AIKit quickly on your local machine without a GPU!

docker run -d --rm -p 8080:8080 ghcr.io/kaito-project/aikit/llama3.1:8b

After running this, navigate to http://localhost:8080/chat to access the WebUI!

For agents

This page has a .md twin and JSON over the API.

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