ghostwright

Deploy AI agents to dedicated VMs in 90 seconds. Interactive TUI. Automatic DNS and TLS. You own the infrastructure.

17
0
100% credibility
Found Mar 31, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Specter provides a dashboard and simple commands to create, monitor, and manage dedicated virtual servers for running persistent AI agents with automatic secure web access.

How It Works

1
🔍 Discover Specter

You hear about Specter, a simple way to give your AI helpers their own secure homes on the internet that run forever.

2
📥 Get it running

You install it easily on your computer with one quick command.

3
🔗 Connect your accounts

You link your cloud accounts so Specter can create servers and web addresses for you.

4
🛠️ Prepare the foundation

You build a ready-to-go base for your AI homes, which takes just a few minutes the first time.

5
🚀 Launch your first AI helper

In the colorful dashboard, you pick a name, role, and size, then watch it come alive in under two minutes with its own secure web address.

6
📊 Watch and manage them

You see all your helpers' health, peek at logs, connect directly, or update them right from the dashboard.

Your AI team is ready

Your AI agents now have reliable homes, always on, secure, and yours to control, earning your full trust.

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Star Growth

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AI-Generated Review

What is specter?

Specter is a Go CLI with interactive TUI that deploys AI agents to dedicated Hetzner Cloud VMs in 90 seconds, handling DNS via Cloudflare, TLS with Let's Encrypt, and systemd auto-restart. It gives agents persistent infrastructure—real IPs, health endpoints, SSH access—you fully own, solving the pain of ephemeral containers or shared runtimes that vanish mid-task. Run `specter deploy scout --role swe --env ANTHROPIC_API_KEY=sk-...` and get a live HTTPS endpoint instantly.

Why is it gaining traction?

Blazing deploys from golden snapshots skip Docker builds and package installs, while JSON-mode CLI suits AI orchestration like deploy agents ai or deploy agents to code and research chatgpt. Built-in observability (logs, status, costs) and security (firewalls, secret injection) make it dead simple versus manual Terraform for deploy agents on aws or kubernetes. No platform fees, just $3.49/mo Hetzner VMs.

Who should use this?

AI builders deploying persistent agents for code/research workflows, beyond one-offs like deploy github actions or deploy github repo to vercel. Devs integrating agents with Databricks, Azure, or Salesforce who want owned VMs over managed sandboxes. Teams needing quick, observable infra without deploy agentspace lock-in.

Verdict

Grab it if you need fast, owned VMs for AI agents—CLI/TUI shine for daily use—but 17 stars and 1.0% credibility score signal early days; prod-test first. Excellent docs/demo lower the risk.

(187 words)

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