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AI Infrastructure Memory

AI that remembers every cloud resource, change, & solution.

Open Source
Software Engineering
Artificial Intelligence
Visit WebsiteSee on Product Hunt

Hunted bytushar patiltushar patil

AI-powered infrastructure memory platform that remembers your entire cloud environment—not just documentation. It tracks AWS, Kubernetes, Docker, Terraform, Linux, RDS, Redis, deployments, incidents, fixes, and infrastructure changes. Ask questions in natural language and instantly get context-aware answers, past history, and solutions—helping DevOps teams troubleshoot faster and never lose operational knowledge.

Top comment

👋 Hi Product Hunt!

I'm excited to introduce **AI Infrastructure Memory**.

I built this product because DevOps teams often lose valuable infrastructure knowledge. Information about AWS resources, Kubernetes clusters, Terraform deployments, Docker containers, Linux servers, incidents, and fixes gets scattered across dashboards, documentation, tickets, and chat messages.

AI Infrastructure Memory acts as a persistent knowledge layer for your infrastructure. It remembers resources, deployments, configuration changes, incidents, and past solutions, allowing you to ask questions in natural language and get instant, context-aware answers.

This is just the beginning, and I'd really appreciate your feedback. What features would make this more useful for your DevOps or cloud team? Thanks for checking it out!

Comment highlights

finally something that actually knows my aws setup without me digging through slack threads. asked why a rds instance kept rebooting and it pulled up a months-old terraform change in seconds.

One thing that would really help our team is adding a way to log who made which change and why. When something breaks at 2am and you ask the AI for context, knowing the person behind a Terraform update or config change makes handoffs way easier. Could be a simple tag or note attached to each tracked event.

Would love to see integration with Slack or Teams so I can query past incidents and infra changes right from chat without having to open another tab. That would make troubleshooting even faster during on-call.

One thing that would really help our team is adding a way to tag or mark "known good" configurations and rollback points so when something breaks we can quickly diff against a stable baseline. Right now we know the data is captured but being able to compare states side by side visually would save a ton of time during incidents.

finally something that actually remembers the weird terraform bug we hit last sprint instead of making me dig through slack. the natural language queries work surprisingly well across our aws and k8s setup.

About AI Infrastructure Memory on Product Hunt

AI that remembers every cloud resource, change, & solution.

AI Infrastructure Memory was submitted on Product Hunt and earned 10 upvotes and 11 comments, placing #158 on the daily leaderboard. AI-powered infrastructure memory platform that remembers your entire cloud environment—not just documentation. It tracks AWS, Kubernetes, Docker, Terraform, Linux, RDS, Redis, deployments, incidents, fixes, and infrastructure changes. Ask questions in natural language and instantly get context-aware answers, past history, and solutions—helping DevOps teams troubleshoot faster and never lose operational knowledge.

AI Infrastructure Memory was featured in Open Source (68.6k followers), Software Engineering (42.7k followers) and Artificial Intelligence (473.8k followers) on Product Hunt. Together, these topics include over 128.1k products, making this a competitive space to launch in.

Who hunted AI Infrastructure Memory?

AI Infrastructure Memory was hunted by tushar patil. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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