Memory layer for LLMs that stores repo rules + past lessons
Your coding agent forgets everything the second a session ends. GPS fixes that. It learns your repo's rules, decisions, gotchas, and test commands, then surfaces exactly what's relevant before any edit. No more "don't log PII here" corrections twice. No more repeating yourself every run. Memory anchored to symbols and files, not dumped into a bloated CLAUDE.md. Agents track their own failures and get smarter over time. Local-first, CLI-first, built for Claude Code, Codex, Cursor, and MCP.
I kept noticing my agents making the same mistakes across sessions. I'd correct something, explain a rule, show it where the tests were, and the next run it was gone. Back to square one. Every session I was burning tokens just re-explaining context that should've already been there.
That's what GPS came from. Instead of stuffing everything into a CLAUDE.md that overflows context and gets ignored anyway, GPS anchors memory to the actual symbols and files in your repo. Before an agent touches code, it gets exactly what it needs, the rules, the past corrections, the gotchas, the test commands. Nothing irrelevant, nothing repeated.
And agents can file their own memories mid-task. Tricky edge case, failed command, something worth remembering next time, it just saves it. The next run starts smarter than the last one ended.
Fewer tokens, better recall, and your repo basically teaches the agent how it works without you doing anything.
About GPS on Product Hunt
“Memory layer for LLMs that stores repo rules + past lessons”
GPS launched on Product Hunt on May 29th, 2026 and earned 78 upvotes and 4 comments, placing #21 on the daily leaderboard. Your coding agent forgets everything the second a session ends. GPS fixes that. It learns your repo's rules, decisions, gotchas, and test commands, then surfaces exactly what's relevant before any edit. No more "don't log PII here" corrections twice. No more repeating yourself every run. Memory anchored to symbols and files, not dumped into a bloated CLAUDE.md. Agents track their own failures and get smarter over time. Local-first, CLI-first, built for Claude Code, Codex, Cursor, and MCP.
On the analytics side, GPS competes within Developer Tools, Artificial Intelligence and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how GPS performed against the three products that launched closest to it on the same day.
Who hunted GPS?
GPS was hunted by Hardik Singh. 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.
For a complete overview of GPS including community comment highlights and product details, visit the product overview.
Hardik Singh