Privacy question: If your AI forgets everything you told it, is that more or less private? 🤔
Plot twist: Synaptic MCP lets YOU control what gets remembered and what gets forgotten 🧠🔒
Privacy by design, memory by choice
What your AI tools see when you switch between them:
'New user, who dis?' 👻
What Synaptic MCP provides:
'Oh hey, we were just talking about quantum computing yesterday!' 🧠✨
User feedback: 'This is exactly what I needed!'
Also user: 'Can you add 47 more features?'
Our dev: quietly having a breakdown 🤦♂️
We love ambitious users (and patient developers)
"Quick question: How many times have you re-introduced yourself to the same AI this week? 🤔
If the answer is more than zero, you need Synaptic MCP in your life 🧠⚡
Stop playing 20 questions with AI that has amnesia
Golf is literally the easiest framework for building MCP servers.
Just create Python files for your tools and prompts, and it automatically turns them into a runnable FastMCP server.
100% Opensource.
Building the Internet of AI Memory.
Where every conversation adds value. Where every insight compounds. Where privacy and progress coexist.
Infrastructure for the AI age 🌐
What if your AI assistant remembered:
✨ Your communication style
✨ Your project preferences
✨ Your creative process
✨ Your learning patterns
Across every platform, every device, every interaction.
That's the Synaptic vision.
Hey there, welcome to the Synaptic MCP community!
We’re building something that lets AI remember you.
Got questions or ideas? Drop them here—let's build this together. 🚀
Ready to talk AI memory?
we switched out the underlying Operator model to o3 today. we think it's a step jump improvement from the previous 4o-based model. give it a try with some of your old prompts that failed!
it was fun to work on this, the o-series paradigm makes everything so much better!
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