metalbear-co/mirrord

Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.

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Summary Information

Updated 6 minutes ago
Added to GitGenius on September 12th, 2026
Created on February 1st, 2022
Open Issues & Pull Requests: 79 (+0)
GitHub issues: Enabled
Number of forks: 215
Total Stargazers: 5,329 (+0)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 43.0 hours
Mean response time: 91.1 days
90th percentile: 347.6 days
Tracked items: 455

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 59% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. Work labelled "stability" is answered fastest, typically in about 13 hours, while "tests" waits about 13 days. Only 4% of issues opened in the past year have been closed. Three people close 67% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 49
New in 7 days: 1
Closed in 7 days: 4
Avg open age: 567 days
Stale 30+ days: 46
Stale 90+ days: 5

Recent activity

Opened in 7 days: 1
Closed in 7 days: 4
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (178)
  • enhancement (140)
  • stale (107)
  • stability (55)
  • ux (36)
  • tests (24)
  • user (19)
  • CI (11)

Detailed Description

mirrord is a developer tool that runs your local process as if it were a pod in your Kubernetes cluster, with real environment variables, DNS resolution, and network traffic routed through a target pod.

The tool solves the problem of testing code changes against live cluster state without deploying. Developers and AI coding agents write code locally while mirrord intercepts and routes their process's traffic, files, and environment variables through a pod in the cluster. This lets you read live cluster context—real environment variables, service responses, and queue contents—while writing code, then immediately test changes against those same services and data. You get deployment-like feedback in seconds without an actual deploy and without disrupting the cluster for others.

mirrord suits teams running Kubernetes who want faster feedback loops during development. It ships as a VS Code extension, IntelliJ plugin, and CLI tool, so it integrates into existing workflows. The tool is particularly valuable for AI coding agents like Claude Code, Cursor, and others, which can use mirrord to ground their code generation in real cluster state. The README does not compare mirrord to alternatives.

The project maintains active development across multiple interfaces and platforms. The codebase is written in Rust and the tool integrates deeply with popular IDEs through native plugins. The project publishes documentation covering overview, installation, and usage patterns across all three distribution channels. The tool supports enterprise features like database branching and queue splitting alongside entry-level capabilities, with trial access available for agents on clusters without a team license.