Launched this week
APX Terminal

APX Terminal

Encrypted terminal and SSH client with built‑in AI assistant

108 followers

Stop Googling commands. APX Terminal is the modern, GPU-accelerated terminal for macOS, Windows & Linux. Seamlessly control Localhost & SSH servers using natural language. Context-Aware AI (It reads your logs & errors), Model Agnostic (Bring your own keys: OpenAI, Gemini, DeepSeek, Groq), Native Performance. The Terminal. Perfected. Don’t just command. Talk. An industrial-grade terminal & SSH client engineered for precision. Local encryption. Neural intelligence. Perpetual license.
APX Terminal gallery image
APX Terminal gallery image
APX Terminal gallery image
APX Terminal gallery image
APX Terminal gallery image
APX Terminal gallery image
APX Terminal gallery image
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What do you think? …

Yoga Bagas
Hi Product Hunt! 👋 I’m Yoga, creator of APX Terminal. For decades, we’ve been managing million-dollar infrastructures using terminal emulators that haven't evolved since the 90s. We paste cryptic error logs into browsers, juggle dozens of SSH keys, and memorize complex syntax. That ends today. APX Terminal is an Enterprise-Grade AI Command Center designed for DevOps, SREs, and Senior Engineers who demand more than just a black screen. Why APX is built for professional workflows: 1. Privacy-First & BYOK. We don’t resell your data. You bring your own keys (OpenAI, Gemini, DeepSeek, Groq). Your API keys are stored locally using OS-level encryption (Keychain/Credential Manager). 2. Hybrid Architecture. Seamlessly control your Local Machine (Zsh/PowerShell) AND Remote Production Servers (SSH) in a single, unified interface. It’s the only tool you need open. 3. GPU-Accelerated Performance. Built on WebGL. APX handles massive log streams and complex outputs without stuttering. It’s native, fast, and stable. 4. Context-Aware Intelligence. The AI doesn't just "chat." It reads your active terminal buffer. When a deployment fails or Nginx crashes, APX analyzes the exact error output and suggests the fix instantly. We built APX to be the last terminal you'll ever need to install. Download it. Stress-test it against your production logs. Let us know what you think.
Aiden Pearce

In real production incidents where does the context-aware AI save the most time compared to a normal terminal + copy-paste workflow?

Yoga Bagas

@aiden_pearce7 It saves the most time during the 'Context Gathering' phase. In a normal workflow, when an incident hits, you have to manually curate context for the AI 'I'm on Ubuntu 22.04, running K8s, here is the tail of the log, and here is the previous command I ran.'

With APX, the AI reads the terminal buffer. It already sees the traceback, the OS version from your prompt, and the command that triggered the crash. It skips the 'explanation' phase and goes straight to the solution.

kxbnb

The context-aware AI reading the terminal buffer is the killer feature here. Copying error logs into a browser tab to debug has always felt broken.

Curious about the BYOK setup - when switching between providers (say OpenAI for one task, DeepSeek for another), does it remember which model works best for different types of errors? Or is it manual switching each time?

Yoga Bagas

@kxbnb  Glad you vibe with the context feature! It really changes the flow once you get used to it. Right now, switching is manual but instantaneous via a dropdown. We found that most devs prefer explicit control, using cheaper/faster models (like DeepSeek/Groq) for daily driving, and bringing out the 'big guns' (GPT-4o) only for nasty, obscure bugs.

But automatic model selection based on complexity? That sounds like a dream feature. Noted! 🚀

Nick

Congrats on the launch, Yoga. Modern infra work has clearly outgrown the old terminal model, and treating the terminal as a real command center instead of just a shell makes a lot of sense. Excited to see how teams put this to work in real production environments.

Yoga Bagas

@spotch_founder Appreciate the kind words! It’s crazy how much our infrastructure has evolved while our primary tool (the terminal) stayed mostly the same for decades. We are trying to bridge that gap. Let me know if you run into any issues testing it in prod!

Thea Winslow

The fact that the AI can actually read my logs and errors to give me context-aware advice is huge. I wonder if it can suggest specific fixes for complex deployment errors, or if it just explains what the error means in simpler terms.

Yoga Bagas

@theaxx It definitely suggests specific fixes! That was a must have for me. If you get a deployment error (say, a Docker container crashing or a cryptic Nginx config issue), the AI will analyze the log and typically output the exact command or code snippet to resolve it. You can often just copy-paste the solution.

It goes beyond 'This is a 502 error' and leans more towards 'Here is the missing line in your nginx.conf'. Give it a shot on your next broken build!

Ryker Rowan
For senior engineers already fluent in CLI, which parts of the workflow see the biggest real-world gain from APX instead of muscle memory?
Yoga Bagas

@ryker_rowan It acts as a macro for your intent, simply typing 'update this server' will automatically chain sudo apt update && sudo apt upgrade -y for you

Qi Wang

The ability to broadcast and execute commands on multiple servers simultaneously is a total efficiency game-changer for daily maintenance, making cluster management far more convenient. When performing such batch operations, how does it clearly display and aggregate execution results to allow for quick verification that all hosts have completed the task successfully?

Yoga Bagas

@qwang_dazee Spot on. Managing clusters requires a bird's-eye view, not just raw logs. You can verify 20 servers in a glance just by looking for the absence of red dots. If one fails, you click it to isolate that specific terminal buffer and debug.

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