Awesome MCP › Agent Platforms

kagent-dev/kagent

⭐ 3714 Python added to this list on 2025-03-20 repository created 2025-01-21

kagent is a Kubernetes native framework designed for building, deploying, and managing AI agents within Kubernetes environments. It integrates as an MCP (Model Context Protocol) server, supporting multiple large language model (LLM) providers and various tools as Kubernetes custom resources. The framework leverages Kubernetes' orchestration capabilities to simplify the lifecycle management of AI agents, making it easier for developers to create flexible, extensible, and observable AI-driven applications. The core concept of kagent revolves around "Agents," which are defined as Kubernetes custom resources encapsulating system prompts, tools, other agents, and LLM configurations. It supports a wide range of LLM providers including OpenAI, Azure OpenAI, Anthropic, Google Vertex AI, Ollama, and custom models accessible via AI gateways. This flexibility allows users to choose or switch between different AI models seamlessly. kagent also provides MCP tools that enable agents to connect to any MCP server offering tools. It includes built-in support for tools related to Kubernetes, Istio, Helm, Argo, Prometheus, Grafana, and Cilium, all managed as Kubernetes custom resources called ToolServers. This modular approach allows multiple agents to share and utilize these tools efficiently. The framework incorporates a memory feature that ensures agents have access to the most current and relevant information, enhancing their contextual understanding and performance. Observability is a key design principle, with support for OpenTelemetry tracing to monitor agent and tool activities, facilitating debugging and performance tuning. Architecturally, kagent consists of four main components: a Kubernetes controller that manages custom resources, a web-based UI for managing agents and tools, a Python-based engine built on the Autogen framework to run agents and tools, and a CLI for command-line management. The project emphasizes declarative configuration through YAML files, extensibility, flexibility, and testability, making it suitable for diverse AI agent use cases in Kubernetes environments. Overall, kagent is a powerful and comprehensive framework that bridges AI agent development with Kubernetes orchestration, leveraging MCP to provide a scalable, manageable, and observable platform for AI applications.

https://github.com/kagent-dev/kagent

agentagentsaiai-agent-frameworkai-agentsai-gatewaysanthropicargoautogenazure-openaiciliumclicloud-nativecncfcontrollercustom-ai-modelscustom-resourcesdeclarativedevopsengineextensibleflexiblegoogle-vertex-aigrafanahelmistiokuberneteskubernetes-controllerkubernetes-custom-resourcesllm-providersmcpmcp-servermemorymodel-configurationmodel-context-protocolmodelconfigmonitoringmulti-agentobservabilityobservableollamaopenaiopentelemetryopentelemetry-tracingorchestrationprometheustestabletoolstoolserversuiweb-ui