Chaterm is the Claude Code for SREs and DevOps — built for real infrastructure. Describe your goal, and let Chaterm execute it end-to-end — from deploy to diagnose. It transforms team knowledge into reusable Agent Skills, automating complex workflows and removing repetitive work across your infrastructure.
Hi Product Hunt 👋
I'm Walter, founder of the open-source project Chaterm, and an SRE with over 10 years of experience at INTSIG PTE, an AWS Advanced Partner.
In my previous roles, we managed tens of thousands of servers, dozens of Kubernetes clusters, and hundreds of databases. One key challenge was helping engineers ramp up quickly in such environments. That’s why we built Chaterm — an AI-native terminal for cloud infrastructure management that bridges intent and execution.
Instead of memorizing complex CLI flags or digging through documentation, you simply describe your goal in natural language. Chaterm understands your infrastructure topology and autonomously plans and executes workflows—from multi-cluster deployments and anomaly diagnosis to automatic rollbacks.
Our core philosophy:
● From Commands to Execution: Let AI handle the heavy lifting of planning and executing complex tasks.
● Reusable Agent Skills: Turn your team’s expertise into safe, reusable skills anyone can run.
● SRE Superpowers for Everyone: Lowering the barrier, giving every developer SRE-level execution.
We’re excited to share Chaterm with the PH community and would truly appreciate your feedback. We’ll be here all day answering any questions and discuss ideas.
🎁 Product Hunt Launch Bonus: Use code PH2026 for a 3-month Pro trial.
👉 Explore Chaterm: https://github.com/chaterm/Chaterm
Thanks so much for your support — and special thanks to our hunter Chris Messina 🙏
The Agent Skills concept is the interesting part here, turning runbooks into reusable automations instead of just chatting with your terminal. How do you scope execution permissions? if I point this at a production cluster, what's the boundary between "suggest a fix" and "apply a fix"?
Every team has that one engineer who knows how to fix everything in prod. When they go on vacation, everyone panics. Turning that knowledge into reusable skills is the real feature here.
Been waiting for something like this. We run a bunch of K8s clusters at Delos and onboarding new devs on infra is always painful. The 'Agent Skills' concept is what makes this different from just another AI terminal — turning tribal knowledge into reusable workflows is huge. Trying it today.
Wow, Chaterm. love the idea of an AI-native terminal built for real infrastructure
As one of the developers behind Chaterm, I’m truly honored to be part of this project. We’ve put a lot of thought into it and refined many details along the way, hoping it will be more than just a new tool and genuinely help people in real-world workflows.
I’d highly recommend everyone to try the built-in Jumpserver asset integration.
Most AI terminal tools can’t really operate within bastion-managed environments, but Chaterm bridges that gap nicely.
This directly addresses a real pain point for ops teams working with secured infrastructure.
Small feature, but makes a big difference in real-world usage.
Built for real operational scenarios, Chaterm is an AI-native terminal. It focuses less on isolated commands and more on helping multi-step, context-heavy tasks keep moving. In practice, that often matters more than making any single command better.
As an AI-native terminal product, Chaterm has also launched a cross-platform mobile version(Android/IOS/Harmonyos). For it, Whether you’re on the go or without carrying laptop, you can handle operation and maintenance tasks seamlessly anytime, anywhere. When typing commands isn’t convenient, you can even finish SRE&OPS tasks simply with your voice input. We aim to deliver users a simple, efficient, and powerful experience.
Nice shot for automating dev ops! How does Chaterm integrate with other components of tech stack btw?
Hi PH folks! Chaterm is an open-source AI-native terminal and SRE Copilot. Manage complex infrastructure with simple natural language, enjoy faster AI workflows while staying in control. Try it, share feedback—your support means a lot :)
It truly brings large language models into real-world DevOps workflows. From troubleshooting and log analysis to handling daily operational tasks, it significantly boosts efficiency—making operations smarter and less about just typing commands.
Really like the focus on execution, not just suggestions — that’s what DevOps tools often miss.
As the maker of Chaterm, I built this because I felt the terminal experience hadn’t evolved enough for modern AI-native workflows.
Chaterm is an AI-powered terminal that helps you move faster without losing control:
- Smart command completion with context
- Multi-device and SSH-friendly workflows
- Built-in AI Agent capabilities for real tasks, not just chat
This is just the beginning, and I’m building it closely with user feedback.
Would love for you to try it and tell me what to improve next.
Thanks for checking it out and supporting us on Product Hunt!
