by yaalalabs · MCP Server · ★ 62
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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The Operating System for Scalable & 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
| Stars | 62 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.4176848157325/100 |
| Open Issues | 24 |
| Last Updated | 2026-07-08 |
| Created | 2025-07-18 |
| Platforms | aws, mcp, python |
| Est. Tokens | ~15k |
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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 62 GitHub stars.
agent-kernel is primarily written in Python. It covers topics such as a2a, adk, ai-agents.
You can find installation instructions and usage details in the agent-kernel GitHub repository at github.com/yaalalabs/agent-kernel. The project has 62 stars and 29 forks, indicating an active community.
agent-kernel is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agent-kernel on Agent Skills Hub include corpusos, langchain_data_agent, asqav-sdk. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.