... Here's what we built along the way. What we shipped Save context from anywhere.  You can now select any text on any webpage or inside any AI chat, right-click, and save it directly to your memory buckets. Your context no longer has to come only from your AI tool, it can come from articles, research, conversations, wherever you are. You can also upload PDFs and Word and other formats of documents. Right-click any selected text ... ... save it to your AI memory. Choose which memory bucket

... another AI tool , but more like a layer across tools. The idea in practice: Instead of starting from zero every time, you can: Save context once reuse it across different AI tools Organize different projects into separate memory buckets Capture knowledge from webpages and bring it into AI instantly Use selected context when chatting, depending on the task Connect your memory to any MCP-compatible tool Add your AI memory as an MCP (Model Context Protocol) server ... ... more Let your coding agent pull from your memory automatically no need to copy-paste anything Follow per-tool setup guides to get connected in minutes Build and manage context in Memory Studio Create, edit, and test memory buckets

... security the easy way. New job. First week. Writing Terraform for an AWS environment handling payment data. Pushed my changes, opened a PR, felt good about shipping fast. A senior engineer glanced at my code and asked: "Is that bucket supposed to be public?" It wasn't. I had copied a configuration from a tutorial and missed one line. One line that would have exposed 50,000 customer payment records to anyone with an internet connection. Caught it 10 minutes ... ... before deployment. That night I realized how easy it is to break things in the cloud. One wrong checkbox. One overly permissive IAM role. One bucket

... accessing S3 storage Full TypeScript support, authentication, middlewares, metadata, encryption, and more. Check it out! I've been working on a new project lately that I'd like to share with you. I always found working with S3 storage buckets very cumbersome, and all the boilerplate code you had to write when setting up a new app really annoyed me. There are a few packages in the npm ecosystem that attempt to solve this problem, but they often didn ... ... meet my expectations or were no longer being maintained. That's why I started developing my own library: vs3

... reactive rather than proactive. It forgets interactions, lacking consistency, and hallucinating when confused. ' . Think of it as labeled filing cabinets for your AI's brain. You organize memories into separate "context buckets", one for each client, project, or use case, then inject only what's relevant into each conversation. Client A's campaign? Load that bucket