MOHAMMAD SAQUIB DAIYAN

How do you handle memory for your AI tools? We built an open-source solution.

byβ€’

Hey Product Hunt! πŸ‘‹

We've been frustrated by the same problem most AI users face β€” every conversation starts from zero. Your AI doesn't remember your preferences, your projects, or what you told it yesterday.

So we built PersistMemory β€” an open-source memory layer that connects to ChatGPT, Cursor, VS Code, Claude, and Windsurf via MCP (Model Context Protocol).

How it works:

  • Connect PersistMemory to any AI tool that supports MCP

  • Your conversations automatically extract and store key facts, preferences, and context

  • Next time you chat, your AI already knows your tech stack, coding style, project details β€” everything

What makes it different:

  • πŸ”“ Open source β€” self-host or use our cloud

  • 🧠 Auto fact extraction with knowledge graph

  • πŸ”— Works across multiple AI tools (not locked to one)

  • πŸ” End-to-end encryption support

  • ⚑ Built on Cloudflare Workers β€” fast globally

Curious to hear from the community:

  1. How are you currently handling AI memory/context across sessions?

  2. What's the #1 thing you wish your AI remembered about you?

  3. Would you prefer self-hosted or cloud for something like this?

Would love your feedback and thoughts. Drop a comment or try it out β€” link in our profile!

6 views

Add a comment

Replies

Be the first to comment