by yaalalabs · MCP Server · ★ 26
Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with built-in session management, execution hooks, MCP/A2A support, guardrails, observability and fault tolerance.
| Stars | 26 |
| Forks | 12 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 37.25/100 |
| Open Issues | 25 |
| Last Updated | 2026-05-21 |
| Created | 2025-07-18 |
| Platforms | aws, mcp, python |
| Est. Tokens | ~2400k |
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agent-kernel is Multi-cloud, framwork-agnostic AI agent runtime for building, testing, and deploying production agents across OpenAI, CrewAI, LangGraph, and Google ADK. Deploy the same agent code to AWS or Azure with. It is categorized as a MCP Server with 26 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 26 stars and 12 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.