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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?
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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.
Auxly-Memory was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.7k products, making this a competitive space to launch in.
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.
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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?