{"type":"mcp_client","name":"kagent","description":"Kagent is a Kubernetes-native framework simplifying the creation, deployment, and management of AI agents within Kubernetes, leveraging custom resources for agents and tools to ensure flexibility and extensibility.","category":"AI","language":"Python","stars":3166,"forks":47,"owner":"kagent-dev","github_url":"https://github.com/kagent-dev/kagent","homepage":"https://kagent.dev","setup":"## Setup\n- [Quick Start](https://kagent.dev/docs/getting-started/quickstart)\n- [Installation guide](https://kagent.dev/docs/introduction/installation)","tools":"## Available Tools\n\n1.  Agents: The main building block of kagent, consisting of a system prompt, a set of tools, and a model configuration.\n2.  Tools: External tools that can be used by an agent, defined as kubernetes custom resources.\n3.  Controller: A kubernetes controller that manages kagent custom resources.\n4.  UI: A web UI for managing agents and tools.\n5.  Engine: A Python application, built using Autogen, that runs the agents and tools.\n6.  CLI: A command line tool for managing agents and tools.","faq":null,"created_at":"2025-01-21T17:03:23+00:00","updated_at":"2025-03-28T22:21:59+00:00","source_url":"https://model-context-protocol.com/clients/kubernetes-native-ai-agent-framework","related_articles":[]}