amem — get started
mcp, agents, ai, tools
What it does
Cursor agents are great at exploring a repo — and expensive at rediscovering the same constraints every session. Decisions live in scrollback. You re-explain “don’t touch X” for the third time this week. amem is personal agent memory that stays on your machine: a private, searchable store of durable facts about your work — owners, file anchors, gotchas, decisions — so the next session starts oriented instead of cold. Try it: https://getamem.com
Memory, skills, tasks, and the desktop app — all of it. Facts stay in ~/.amem on your machine. One command, then open the UI. The next Cursor or Claude session starts with the constraints, gotchas, and file anchors you already paid to discover — not a cold grep of the whole tree. Memory holds what is true. Skills hold how you do it here, loaded only when relevant. Tasks are a Kanban the agent can move so follow-ups survive the chat. amem ships no model. When a session looks like a hard-won procedure, it nudges the agent to write a skill. You approve. The next agent does not rediscover it. The database lives in ~/.amem . The UI binds to localhost. No managed sync, no org wiki, no cloud RAG.…from getamem.com
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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AI · 17d ago · simedw.com