deevus

deevus / pixels

Public

Disposable Linux containers for AI coding agents, with extensible backends

ai-agents cli containers devtools go
44
1
100% credibility
Found Feb 28, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

A tool for creating and managing short-lived sandboxes on a TrueNAS server, equipped for AI-assisted coding with secure access, snapshots, and controlled internet permissions.

How It Works

1
🔍 Discover Pixels

You hear about Pixels, a handy tool that lets you create safe, temporary sandboxes on your home storage server for running smart coding helpers.

2
🔗 Link to your server

You connect Pixels to your storage server by sharing a simple permission slip, so it can manage sandboxes just for you.

3
🚀 Launch your first sandbox

With one easy command, you spin up a fresh sandbox prepped with coding tools and smart helpers, feeling the excitement as it comes alive.

4
🖥️ Step inside the sandbox

You open a direct window to chat and work inside the sandbox, like sitting at a remote desk with all the tools ready.

5
📸 Save a perfect moment

You capture the sandbox's state as a snapshot, so you can rewind or copy it anytime without losing your setup.

6
🔄 Make copies for tasks

You duplicate the snapshot into new sandboxes for different jobs, keeping everything organized and secure.

✅ Wrap up safely

When done, you easily shut down and remove sandboxes, leaving your server clean and your work safely archived.

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Star Growth

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AI-Generated Review

What is pixels?

Pixels is a Go CLI for spinning up disposable Linux servers on TrueNAS SCALE using Incus containers, tailored for AI coding agents. It auto-provisions sandboxes with tools like Claude Code, Codex, and OpenCode via mise, plus SSH access, ZFS snapshot checkpoints, and egress policies limiting outbound traffic to AI APIs, GitHub, and package registries. Think disposable Linux servers that you create, checkpoint, clone, and destroy via simple commands like `pixels create task1 --from base:ready`.

Why is it gaining traction?

It stands out with agent-specific presets—like "agent" mode whitelisting Anthropic, OpenAI, npm, PyPI, and GitHub domains—keeping AI workloads secure without manual firewall tweaks. ZFS checkpoints let you snapshot a "ready" state and clone identical tasks fast, beating generic container tools for reproducible AI experiments. Cozy pixels github setup hides TrueNAS complexity behind a clean CLI with local IP caching for snappy SSH exec/console.

Who should use this?

AI engineers testing coding agents on shared TrueNAS clusters, or DevOps folks needing disposable Linux servers for Claude Code sandboxes without local VM sprawl. Ideal for teams cloning dev environments from checkpoints, like spinning task workers from a provisioned base.

Verdict

Promising for TrueNAS users wanting secure AI agent sandboxes, with solid docs, tests, and MIT license—but at 17 stars and 1.0% credibility, it's early alpha; test on non-prod first. Grab it if you match the use case, skip otherwise.

(198 words)

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