agent-kernel — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by yaalalabs · MCP Server · ★ 134

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About agent-kernel

The Operating System for Scalable &amp; Compliant Enterprise AI Agents Run, orchestrate, and deploy production AI agents at scale — across frameworks and clouds — without lock-in, rewrites, or fragile glue code. 📖 Docs • 🚀 Quick Start • ✨ Features • ☁️ Deploy • <a href="https://discord.gg/snrPzb4

a2aadkai-agentsawsazurecloud-nativecrewaienterpriseguardrailslanggraph

Quick Facts

Stars134
Forks72
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score66.5559881976812/100
Open Issues129
Last Updated2026-08-26
Created2025-07-18
Platformsaws, mcp, python
Est. Tokens~15k

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Frequently Asked Questions

What is agent-kernel?

agent-kernel is 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 . It is categorized as a MCP Server with 134 GitHub stars.

What programming language is agent-kernel written in?

agent-kernel is primarily written in Python. It covers topics such as a2a, adk, ai-agents.

How do I install or use agent-kernel?

You can find installation instructions and usage details in the agent-kernel GitHub repository at github.com/yaalalabs/agent-kernel. The project has 134 stars and 72 forks, indicating an active community.

What license does agent-kernel use?

agent-kernel is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to agent-kernel?

The top alternatives to agent-kernel on Agent Skills Hub include evo-ai, nudgebee, asqav-sdk. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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