cnoe-io/agentic-ai

AI Summary: Create and test Helm charts for deploying the multi-agent system (MAS) and all its individual agents (ArgoCD, Atlassian, Backstage, GitHub, PagerDuty, Slack) onto a Kubernetes cluster.

AI Summary: The task involves researching and deciding between using RBAC impersonation versus authentication for an OpenAPI MCP code generator, potentially leveraging libraries like casbin.org for access control. This decision needs to be made within the context of the larger Agentic AI project, which focuses on building multi-agent systems interacting with various platforms (ArgoCD, Atlassian, GitHub, etc.).

AI Summary: The task involves setting up a testing environment (using Kind or Minikube) to run the downstream services of the Agentic AI project. This likely includes configuring Kubernetes clusters and deploying the various sub-agents (ArgoCD, Atlassian, Backstage, GitHub, PagerDuty, Slack) within these clusters for testing purposes.

AI Summary: Investigate and compare three different MCP (Multi-Channel Protocol) gateways: agentgateway, kgateway, and agentic-community's mcp-gateway-registry. The goal is to understand their capabilities and suitability for the Agentic AI project, based on the architecture proposal discussed in the provided GitHub discussions.

AI Summary: The task involves removing all references to 'ACP' (likely an acronym for a previous project name) from the Agentic AI project and its associated repositories. Additionally, all agents need to be tagged with a stable version.