Your durable workspace across AI agents.
⚡ Executive Summary & Quick Facts
Authoritative Sourceaikito is aikito is an open-source project written in Python: Your durable workspace across AI agents..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), lsaint/aikito has accumulated 129 GitHub stars and 0 forks. It is written in Python, licensed under MIT, and ranks #19,347 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | lsaint/aikito ↗ |
|---|---|
| Primary Category | agent governance |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 129 stars · ⑂ 0 forks · #19,347 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 0 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, aikito is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (4 days ago). Supported by 129 stars and 0 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
Add Live Star History & Verified Badges to README.md
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/lsaint/aikito?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/lsaint/aikito?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lsaint/aikito?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lsaint/aikito?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lsaint/aikito?utm_source=readme_badge) [](https://githubrepo.cloud/repo/lsaint/aikito?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#2,482
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
aikito gained 10 stars in the last 30 days, about 1 a day, and now has 129. It is about 1 year old and has averaged roughly 129 stars a year. It ranks #2,482 among Python repositories and #19,347 across all languages on GitHubRepo.
Trending Record
3
DAYS ON TRENDING
#18091
BEST RANK
Oct 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
aikito has maintained a continuous presence across global trending indexes, peaking at #18091. Below is the 30-day activity profile:
💡 Overview
aikito is an open-source project written in Python: Your durable workspace across AI agents.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-governance, agent-memory, agent-skills. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python 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.
📥 Installation
$ pip install aikito⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
aikito coordinates its core functionality through a modular Python 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.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with aikito.
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.
🚀 Getting Started
Install aikito using your package manager: `pip install aikito`
Initialize your project workspace or configuration file for aikito.
Import aikito into your codebase or invoke it directly from your terminal.
Execute your test suite or run `aikito --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
lsaint/aikito is currently ranked #19,347 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #19,293 | DereC4/internships-and-newgrad | Go | ★ 130 | Compare ↗ |
| #19,293 | seohongpark/ocbench | Python | ★ 130 | Compare ↗ |
| #19,293 | Stellar-Pathfinder/stellar-pathfinder | Go | ★ 130 | Compare ↗ |
| #19,293 | WitherBlitz/NSMB-Wii-Multiplayer-Recompilation | C++ | ★ 130 | Compare ↗ |
| #19,293 | amiya-special/Dynaflow | Python | ★ 130 | Compare ↗ |
| #19,347 | lsaint/aikito This Project | Python | ★ 129 | |
| #19,347 | peej/phpdoctor | PHP | ★ 129 | Compare ↗ |
| #19,347 | appoxy/simple_record | Ruby | ★ 129 | Compare ↗ |
| #19,347 | wireframe/backgrounded | Ruby | ★ 129 | Compare ↗ |
| #19,347 | hober/html5-el | Emacs Lisp | ★ 129 | Compare ↗ |
| #19,347 | sittercity/sprig | PHP | ★ 129 | Compare ↗ |
Frequently Asked Questions
What does aikito do? +
Your durable workspace across AI agents.
Is aikito actively maintained in 2026? +
Yes, aikito is actively maintained. The latest code push was recorded on Oct 27, 2026 (4 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 129 stars and 0 open issues.
What language is aikito written in? +
The primary language is Python. Topics include: agent-governance, agent-memory, agent-skills, agentic-workflow, agy.
How many stars does aikito have? +
aikito has 129 stars and 0 forks on GitHub.
How does aikito rank among GitHub repositories? +
With 129 stars, lsaint/aikito is ranked #19,347 globally across all repositories tracked on GitHubRepo and #2,482 among Python projects.
What license is aikito distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
