Agent traces you can run, not just read.
⚡ Executive Summary & Quick Facts
Authoritative Sourcekitaru is kitaru is an open-source project written in Python: Agent traces you can run, not just read..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), zenml-io/kitaru has accumulated 315 GitHub stars and 29 forks. It is written in Python, licensed under Apache-2.0, and ranks #13,088 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | zenml-io/kitaru ↗ |
|---|---|
| Primary Category | agent |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 315 stars · ⑂ 29 forks · #13,088 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 89 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, kitaru is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (4 days ago). Supported by 315 stars and 29 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/zenml-io/kitaru?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/zenml-io/kitaru?utm_source=readme_badge) [](https://githubrepo.cloud/repo/zenml-io/kitaru?utm_source=readme_badge) [](https://githubrepo.cloud/repo/zenml-io/kitaru?utm_source=readme_badge) [](https://githubrepo.cloud/repo/zenml-io/kitaru?utm_source=readme_badge) [](https://githubrepo.cloud/repo/zenml-io/kitaru?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,686
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +4 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
kitaru gained 10 stars in the last 30 days, about 1 a day, and now has 315. It is about 1 year old and has averaged roughly 315 stars a year. It ranks #1,686 among Python repositories and #13,088 across all languages on GitHubRepo.
Trending Record
8
DAYS ON TRENDING
#4867
BEST RANK
Oct 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
kitaru has maintained a continuous presence across global trending indexes, peaking at #4867. Below is the 30-day activity profile:
💡 Overview
kitaru is an open-source project written in Python: Agent traces you can run, not just read.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agent-orchestration, agentic-ai. 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 kitaru⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
kitaru 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 kitaru.
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 kitaru using your package manager: `pip install kitaru`
Initialize your project workspace or configuration file for kitaru.
Import kitaru into your codebase or invoke it directly from your terminal.
Execute your test suite or run `kitaru --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
zenml-io/kitaru is currently ranked #13,088 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #13,075 | runpod/runpod-python | Python | ★ 316 | Compare ↗ |
| #13,075 | apple/swift-temporal-sdk | Swift | ★ 316 | Compare ↗ |
| #13,075 | skilld-dev/skilld | Rust | ★ 316 | Compare ↗ |
| #13,075 | simion/termic | TypeScript | ★ 316 | Compare ↗ |
| #13,075 | anthropics/ClaudeForFoundationModels | Swift | ★ 316 | Compare ↗ |
| #13,088 | zenml-io/kitaru This Project | Python | ★ 315 | |
| #13,088 | thumblemonks/riot | Ruby | ★ 315 | Compare ↗ |
| #13,088 | dustin/gomemcached | Go | ★ 315 | Compare ↗ |
| #13,088 | pinax/pinax-badges | Python | ★ 315 | Compare ↗ |
| #13,088 | basho/riak-erlang-client | Erlang | ★ 315 | Compare ↗ |
| #13,088 | mongoid/mongoid_search | Ruby | ★ 315 | Compare ↗ |
Frequently Asked Questions
What does kitaru do? +
Agent traces you can run, not just read.
Is kitaru actively maintained in 2026? +
Yes, kitaru 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 315 stars and 89 open issues.
What language is kitaru written in? +
The primary language is Python. Topics include: agent, agent-orchestration, agentic-ai, agents, ai-agents.
How many stars does kitaru have? +
kitaru has 315 stars and 29 forks on GitHub.
How does kitaru rank among GitHub repositories? +
With 315 stars, zenml-io/kitaru is ranked #13,088 globally across all repositories tracked on GitHubRepo and #1,686 among Python projects.
What license is kitaru distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
