matt-fosterfso7215/realenv-pro-k8s-agent-tool — explained in plain English
Analysis updated 2026-05-18
Mirror a Kubernetes namespace's environment and DNS routing to debug in a production-like sandbox.
Capture and replay network traffic to reproduce and investigate a bug.
Feed mirrored environment state into an AI agent for agent-assisted debugging.
Inject controlled environment variables for testing a service's runtime behavior.
| matt-fosterfso7215/realenv-pro-k8s-agent-tool | ben-hillxcpt560/crosshairx-pro-crosshair-hub | datawhalechina/mala-claw | |
|---|---|---|---|
| Stars | 10 | 10 | 10 |
| Language | HTML | HTML | HTML |
| Last pushed | — | — | 2026-03-16 |
| Maintenance | — | — | Maintained |
| Setup difficulty | hard | easy | moderate |
| Complexity | 4/5 | 1/5 | 1/5 |
| Audience | ops devops | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Needs network permissions for DNS mirroring and traffic capture, plus a compatible Kubernetes cluster for namespace mirroring.
RealEnv Pro is a cross platform developer tool aimed at people working with AI coding agents, Kubernetes, and cloud native systems who need to troubleshoot and test in conditions that look like a real production setup. The core idea is to mirror the environment around a running service, meaning it copies enough of the surrounding setup, such as variables and network traffic, so you can examine how a service behaves without touching the real production system directly. The README lists several capabilities: mirroring DNS so requests route the same way they would in a live setup, injecting environment variables into a controlled runtime, capturing and replaying network traffic for debugging, integrating with AI agents so they can act on mirrored conditions, a web dashboard for visual inspection, support for multiple language SDKs, mirroring Kubernetes namespaces with little manual setup, and a command line workflow for both local and remote use. To get started, you clone the repository or download a packaged build, then run it from the command line or open the included dashboard. If your setup uses the SDK, you connect it to whatever agent, backend, or tooling project you are working on before starting a session. A typical session involves picking the environment or namespace to mirror, turning on DNS mirroring and variable injection if you need them, capturing traffic during testing, replaying that traffic to compare behavior, and then reviewing results either in the dashboard or through the SDK. Configuration is handled through command line flags, environment variables, or dashboard settings, covering things like which namespace to target, DNS routing behavior, and traffic capture preferences. Using it requires network permissions for the mirroring and capture features, and if you are targeting Kubernetes, a compatible cluster to connect to. The project is licensed under GNU GPL v3.0.
A cross-platform developer tool that mirrors a service's environment (DNS, env vars, traffic) for debugging Kubernetes and AI-agent workflows in a production-like sandbox.
Mainly HTML. The stack also includes Kubernetes, CLI, SDK.
You can use, modify, and distribute this freely, but any derivative work must also be released under the GPL v3 license.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
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