Inventory

Anyone who spends their days bouncing between Cursor, Copilot, ChatGPT tabs, and half a dozen other AI coding assistants knows the specific pain of remembering a great answer existed somewhere, in some thread, on some Tuesday, and never being able to find it again. Inventory, which surfaced on Product Hunt this week, is built around that exact frustration. Its pitch is simple: one search bar that reaches across every AI agent and IDE conversation you've had, instead of forcing you to dig through a dozen separate chat histories.

The listing itself is sparse, just a tagline and a link, which tells you this is an early-stage launch rather than a polished product rollout with a press kit. That's fine. Product Hunt has always been the place where tools show up half-finished and let the crowd decide if the idea has legs before the marketing catches up.

What makes this interesting isn't the search function on its own, plenty of apps index chat logs, it's the framing around agents specifically. As more developers run multiple AI coding assistants side by side, each with its own memory and its own silo, the record of what actually happened during a coding session gets fragmented fast. A snippet that solved a tricky bug in Claude never shows up when you're back in Cursor three days later. Inventory is essentially betting that this fragmentation is now common enough, and painful enough, to justify a dedicated tool.

Whether it succeeds depends entirely on things the listing doesn't spell out: which tools it actually connects to, whether it works locally or ships your history to a server, and how it handles the messy formatting differences between, say, a terminal-based agent and a chat-window IDE plugin. Search is the easy part of this problem. Reliably capturing conversation data from tools that were never designed to be indexed is the hard part.