kaito-project/aikit
๐๏ธ Fine-tune, build, and deploy open-source LLMs easily!
โก Executive Summary & Quick Facts
Authoritative Sourceaikit is aikit is an open-source project written in Go: ๐๏ธ Fine-tune, build, and deploy open-source LLMs easily!.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), kaito-project/aikit has accumulated 541 GitHub stars and 56 forks. It is written in Go, licensed under MIT, and ranks #11,895 globally. It is actively maintained with the latest commit recorded on Nov 2, 2026.”
| Repository | kaito-project/aikit โ |
|---|---|
| Primary Category | ai |
| Language & Stack | Go |
| Software License | MIT |
| Community Traction | โ 541 stars ยท โ 56 forks ยท #11,895 globally |
| Maintenance | โ Active (Last commit: Nov 2, 2026) ยท 38 open issues |
| Replaces SaaS | Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) โ |
| Target Audience | Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads. |
๐ก๏ธ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 ยท Grade A+Yes, aikit is actively maintained. Continuous telemetry recorded the last code commit on Nov 2, 2026 (11 days ago). Supported by 541 stars and 56 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/kaito-project/aikit?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/kaito-project/aikit?utm_source=readme_badge) [](https://githubrepo.cloud/repo/kaito-project/aikit?utm_source=readme_badge) [](https://githubrepo.cloud/repo/kaito-project/aikit?utm_source=readme_badge) [](https://githubrepo.cloud/repo/kaito-project/aikit?utm_source=readme_badge) [](https://githubrepo.cloud/repo/kaito-project/aikit?utm_source=readme_badge)Momentum
+2
STARS ยท LAST 30 DAYS
1
PER DAY
#1,336
MOST-STARRED Go
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +2 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
aikit gained 2 stars in the last 30 days, about 1 a day, and now has 541. It is about 3 years old and has averaged roughly 180 stars a year. It ranks #1,336 among Go repositories and #11,895 across all languages on GitHubRepo.
Trending Record
40
DAYS ON TRENDING
#3582
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
aikit has maintained a continuous presence across global trending indexes, peaking at #3582. Below is the 30-day activity profile:
๐ก Overview
aikit is an open-source project written in Go: ๐๏ธ Fine-tune, build, and deploy open-source LLMs easily!.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, buildkit, chatgpt. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
โก Key Features
Optimized execution pipeline written in Go for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
๐ฅ Installation
$ go install github.com/kaito-project/aikit@latestโ System Requirements
Platforms
- โข macOS
- โข Linux
- โข Windows
Runtime & Dependencies
Go >= 1.21 runtime environment
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
๐ง How It Works
aikit coordinates its core functionality through a modular Go pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
๐ฏ Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with aikit.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
๐ Getting Started
Install aikit using your package manager: `go install github.com/kaito-project/aikit@latest`
Initialize your project workspace or configuration file for aikit.
Import aikit into your codebase or invoke it directly from your terminal.
Execute your test suite or run `aikit --help` to verify successful setup.
๐ Strengths
โ ๏ธ Considerations
โ Alternatives & Direct Competitors
๐ฅ Who Should Use This
Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.
๐ Nearby in the Rankings
kaito-project/aikit is currently ranked #11,895 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #11,884 | CesiumGS/cesium-unity | C# | โ 542 | Compare โ |
| #11,884 | Linus-Mussmaecher/rucola | Rust | โ 542 | Compare โ |
| #11,884 | funnycups/Luker | JavaScript | โ 542 | Compare โ |
| #11,884 | pixtuoid/pixtuoid | Rust | โ 542 | Compare โ |
| #11,884 | chattymin/PokeTokenBar | Swift | โ 542 | Compare โ |
| #11,895 | kaito-project/aikit This Project | Go | โ 541 | |
| #11,895 | stsquad/emacs_chrome | JavaScript | โ 541 | Compare โ |
| #11,895 | dellytools/delly | C++ | โ 541 | Compare โ |
| #11,895 | haikuports/haikuports | Shell | โ 541 | Compare โ |
| #11,895 | RazrFalcon/roxmltree | Rust | โ 541 | Compare โ |
| #11,895 | PyLops/pylops | Python | โ 541 | Compare โ |
Frequently Asked Questions
What does aikit do? +
๐๏ธ Fine-tune, build, and deploy open-source LLMs easily!
Is aikit actively maintained in 2026? +
Yes, aikit is actively maintained. The latest code push was recorded on Nov 2, 2026 (11 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 541 stars and 38 open issues.
What language is aikit written in? +
The primary language is Go. Topics include: ai, buildkit, chatgpt, docker, fine-tuning.
How many stars does aikit have? +
aikit has 541 stars and 56 forks on GitHub.
How does aikit rank among GitHub repositories? +
With 541 stars, kaito-project/aikit is ranked #11,895 globally across all repositories tracked on GitHubRepo and #1,336 among Go projects.
What license is aikit distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
