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yaalalabs/agent-kernel

The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

Python ◇ a2a Apache-2.0
★192STARS
⑂88FORKS
!112ISSUES
🏆#19,629GLOBAL RANK
🔥7DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

agent-kernel is agent-kernel is an open-source project written in Python: The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), yaalalabs/agent-kernel has accumulated 192 GitHub stars and 88 forks. It is written in Python, licensed under Apache-2.0, and ranks #19,629 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository yaalalabs/agent-kernel ↗
Primary Category a2a
Language & Stack Python
Software License Apache-2.0
Community Traction ★ 192 stars · ⑂ 88 forks · #19,629 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 112 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+
✅
Is agent-kernel actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, agent-kernel is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (10 days ago). Supported by 192 stars and 88 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 3, 2026
10 days since last push
Issue Backlog
112 Open Issues
Healthy Issue Cadence
Community Backing
88 Forks
192 Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for yaalalabs/agent-kernel
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#2,600

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

agent-kernel gained 10 stars in the last 30 days, about 1 a day, and now has 192. It is about 1 year old and has averaged roughly 192 stars a year. It ranks #2,600 among Python repositories and #19,629 across all languages on GitHubRepo.

Trending Record

agent-kernel has maintained a continuous presence across global trending indexes, peaking at #17792. Below is the 30-day activity profile:

💡 Overview

agent-kernel is an open-source project written in Python: The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

Engineered for speed, consistency, and developer ease, it solves common hurdles in a2a, adk, ai-agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install agent-kernel

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agent-kernel 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 agent-kernel.

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

1

Install agent-kernel using your package manager: `pip install agent-kernel`

2

Initialize your project workspace or configuration file for agent-kernel.

3

Import agent-kernel into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `agent-kernel --help` to verify successful setup.

👍 Strengths

Active community backing with 192 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 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

yaalalabs/agent-kernel is currently ranked #19,629 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#19,585 RonaldDeng/Rhine-Music-Demo JavaScript ★ 193 Compare ↗
#19,585 macedonga/visor Kotlin ★ 193 Compare ↗
#19,585 kutukam/autonomous-pentest-agent Go ★ 193 Compare ↗
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#19,585 danielalves96/gow-pc-port C++ ★ 193 Compare ↗
#19,629 yaalalabs/agent-kernel This Project Python ★ 192
#19,629 peterbe/django-static Python ★ 192 Compare ↗
#19,629 RJ/playdar-core PHP ★ 192 Compare ↗
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Frequently Asked Questions

What does agent-kernel do? +

The Operating System for Scalable Enterprise AI Agents - Run, orchestrate, and deploy Compliant Enterprise AI Agents at scale across frameworks, without lock-in, rewrites or fragile glue code. Native support for MCP, A2A. Interface with all mainstream communication channels seamlessly out of the box, production ready from day one.

Is agent-kernel actively maintained in 2026? +

Yes, agent-kernel is actively maintained. The latest code push was recorded on Nov 3, 2026 (10 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 192 stars and 112 open issues.

What language is agent-kernel written in? +

The primary language is Python. Topics include: a2a, adk, ai-agents, aws, azure.

How many stars does agent-kernel have? +

agent-kernel has 192 stars and 88 forks on GitHub.

How does agent-kernel rank among GitHub repositories? +

With 192 stars, yaalalabs/agent-kernel is ranked #19,629 globally across all repositories tracked on GitHubRepo and #2,600 among Python projects.

What license is agent-kernel distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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