TheSecondBrain.dev
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You use AI every day. A year of it should add up to something, and right now it doesn't. Every new chat starts from zero.
Second Brain is a memory layer that runs in your own Cloudflare account. Claude, ChatGPT, Cursor, Windsurf and any other MCP client read and write the same store, so what you work out in one tool is there in the next one.
Getting things in
Getting things back
Recall is semantic, not keyword. Memories link to each other, so a multi-hop search surfaces the reasoning behind a decision, not just the decision.
Entries carry a status (canonical, draft, deprecated) so an agent knows which version of a fact to trust.
Contradictions get flagged for a human to settle instead of quietly overwritten.
Where it lives
Your Cloudflare account: Workers, D1 and Vectorize.
Typical personal use sits inside Cloudflare's free tier. Open source on GitHub. No account with us, and nothing routes through our infrastructure.
Setup
Signed desktop app for Mac and Windows, one-click Cloudflare deploy, or clone the repo and run wrangler.
TheSecondBrain.dev DockerTheSecondBrain.dev's answer
Most AI memory tools store your context on their servers. This one deploys into your own Cloudflare account, so the memory is yours in a literal sense: your database, your vectors, your billing. We can't read it because we never have it.
The other difference is recall:
TheSecondBrain.dev's answer
It works everywhere you work. Claude, ChatGPT, Cursor, Windsurf, Codex, any MCP client. Most memory tools only remember what happened inside their own app, so you end up with three AI tools holding three different versions of you.
You own the deployment. One-click deploy to Cloudflare, or a signed desktop installer if you'd rather not touch a terminal. Typical personal use sits inside Cloudflare's free tier, so there's no subscription to cancel and no vendor to migrate off later.
It's open source. MIT licensed. Read the code, fork it, extend it. Nothing about how your memory is stored or retrieved is a black box.
TheSecondBrain.dev's answer
People who already live in these tools. They have an Obsidian vault or a Notion workspace, they're in Claude or ChatGPT every day, and some of them are in Cursor too. They're not casual users and they're not necessarily developers. They've built a system, and they've noticed the system doesn't talk to itself.
The shared frustration isn't "AI forgets." It's that a year of real thinking, hours of working through actual problems, hasn't left anything behind. Every conversation is good and then it's gone, and a month later they're figuring out the same thing from scratch.
They also tend to care where their work sits. Not privacy absolutists, just people who'd rather their own thinking accumulate in an account they control than in someone else's product they might have to leave.
TheSecondBrain.dev's answer
I was using Claude, ChatGPT and Cursor every day and re-explaining the same projects to each of them. A year of that adds up to nothing. The decisions I'd worked out in one tool simply didn't exist in the next one.
I built it for myself first, on Cloudflare because I already had an account and the free tier meant I could run it without thinking about cost. Then I open sourced it, and what people asked for shaped what it became. The desktop app exists because a user on Product Hunt asked for a path that didn't involve a terminal, and she was right to ask.
I still use it every day. Most of the roadmap comes from hitting the limits of my own memory layer.
TheSecondBrain.dev's answer
TheSecondBrain.dev's answer
Based on our record, Docker seems to be more popular. It has been mentiond 80 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Cloud Run (GCR) -- the latest serverless platform; OCI-compliant containers (Docker, Buildpacks, etc.) Cloud Functions (GCF) -- originally serverless functions to compete with AWS Lambda; latest generation rebranded as Cloud Run Functions. - Source: dev.to / 8 months ago
One of the best benefits of Docker is that it helps you make your software multi-environment friendly, so you can use the same (or similar) config from local dev to production. Having a Dockerfile for every environment kind of defeats the purpose. Optimizing it means using env vars and keeping the overall architecture more abstract. - Source: dev.to / 10 months ago
Before we begin, ensure you have Docker installed on your system. You can download it from Docker's official website. - Source: dev.to / 11 months ago
You can use Docker to spin up an instance of WordPress on your local computer and in the cloud. But does it make sense to use WordPress in Docker? - Source: dev.to / about 1 year ago
Ghost is an open source blogging and newsletter platform designed for professional publishers. In this guide, I want to show you, how you can spin up and deploy your own instance of Ghost using Docker and Sliplane. - Source: dev.to / about 1 year ago
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Agentmemory - Persistent memory for Claude Code, Codex & coding agents
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
OpenMemory MCP - Your private, local memory layer for all AI tools
Apache Karaf - Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.
