This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Kote is a developer memory layer that automatically captures and organizes AI sessions, Git history, and development context into searchable knowledge. It helps developers remember past decisions, recover technical context, and ask questions about their projects using natural language instead of digging through chats, commits, or documentation. See more: https://github.com/pedroaugusto04/Kote
I wanted to share a project I've been working on called Kote. ( Yes, it's a The Name Of the Wind reference ).
It started from a problem I kept running into: I'd solve something with the help of an AI assistant, spend time debugging an issue, or make an architectural decision... and a few weeks later I couldn't remember where that information was. Most of the time I simply didn't bother saving it anywhere.
So I built Kote to capture that context automatically instead of relying on me to document it.
Right now it can automatically capture AI chats (Antigravity, Codex, Claude Code, OpenCode) from the VS Code extension or CLI, analyze Git pushes, retrieve historical context during Pull Requests, save quick text or voice notes through WhatsApp, and make everything searchable from the web app or directly from VS Code, so you can ask questions about your accumulated context instead of digging through old chats, commits, and docs. I originally added the Git push analysis and PR context features mostly as an experiment because I didn't expect them to be particularly useful, but they've been far more useful in practice than I expected.
Kote can be self-hosted and works with your own LLM provider, though I've primarily tested it with Gemini.
I'm curious how other people handle this. Do you guys use another tool or workflow to preserve this kind of info?
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About Kote on Product Hunt
“Developer memory for AI sessions and Git history”
Kote was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #153 on the daily leaderboard. Kote is a developer memory layer that automatically captures and organizes AI sessions, Git history, and development context into searchable knowledge. It helps developers remember past decisions, recover technical context, and ask questions about their projects using natural language instead of digging through chats, commits, or documentation. See more: https://github.com/pedroaugusto04/Kote
Kote was featured in Artificial Intelligence (473.1k followers), GitHub (41.3k followers) and Development (6k followers) on Product Hunt. Together, these topics include over 132.9k products, making this a competitive space to launch in.
Who hunted Kote?
Kote was hunted by Pedro Augusto Almeida Duarte. 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.
Want to see how Kote stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Pedro Augusto Almeida Duarte
Hi everyone!
I wanted to share a project I've been working on called Kote. ( Yes, it's a The Name Of the Wind reference ).
It started from a problem I kept running into: I'd solve something with the help of an AI assistant, spend time debugging an issue, or make an architectural decision... and a few weeks later I couldn't remember where that information was. Most of the time I simply didn't bother saving it anywhere.
So I built Kote to capture that context automatically instead of relying on me to document it.
Right now it can automatically capture AI chats (Antigravity, Codex, Claude Code, OpenCode) from the VS Code extension or CLI, analyze Git pushes, retrieve historical context during Pull Requests, save quick text or voice notes through WhatsApp, and make everything searchable from the web app or directly from VS Code, so you can ask questions about your accumulated context instead of digging through old chats, commits, and docs. I originally added the Git push analysis and PR context features mostly as an experiment because I didn't expect them to be particularly useful, but they've been far more useful in practice than I expected.
Kote can be self-hosted and works with your own LLM provider, though I've primarily tested it with Gemini.
I'm curious how other people handle this. Do you guys use another tool or workflow to preserve this kind of info?