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Auxly-Memory
Local-first memory CLI — one vault for all your AI agents
Every AI tool keeps its own memory in its own silo. Tell Claude your stack, open Cursor — it knows nothing. Switch to Gemini — start over. Auxly-Memory fixes that. One shared memory vault for all your AI agents — plain Markdown files on your machine. No cloud. No embeddings. No Docker. Works with Claude, Codex, Gemini, Cursor, Copilot and any MCP-capable agent. MIT licensed.
We built Auxly-Memory out of pure frustration. I was switching between Claude, Cursor, and Gemini daily — re-explaining the same context every single time. That's not a workflow, that's a tax.
The idea is simple: one Markdown folder on your machine that every agent reads from and writes to via MCP. You own the files, you version them in Git, you audit every read/write.
Would love feedback from anyone juggling multiple AI agents daily. What context do you find yourself repeating the most?
About Auxly-Memory on Product Hunt
“Local-first memory CLI — one vault for all your AI agents”
Auxly-Memory was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #158 on the daily leaderboard. Every AI tool keeps its own memory in its own silo. Tell Claude your stack, open Cursor — it knows nothing. Switch to Gemini — start over. Auxly-Memory fixes that. One shared memory vault for all your AI agents — plain Markdown files on your machine. No cloud. No embeddings. No Docker. Works with Claude, Codex, Gemini, Cursor, Copilot and any MCP-capable agent. MIT licensed.
On the analytics side, Auxly-Memory competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Auxly-Memory performed against the three products that launched closest to it on the same day.
Who hunted Auxly-Memory?
Auxly-Memory was hunted by Wael Samoum. 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 Auxly-Memory including community comment highlights and product details, visit the product overview.
Wael Samoum
Hey Product Hunt! 👋
We built Auxly-Memory out of pure frustration. I was switching between Claude, Cursor, and Gemini daily — re-explaining the same context every single time. That's not a workflow, that's a tax.
The idea is simple: one Markdown folder on your machine that every agent reads from and writes to via MCP. You own the files, you version them in Git, you audit every read/write.
Would love feedback from anyone juggling multiple AI agents daily. What context do you find yourself repeating the most?