Second Brain for AI

the memory problem is so underrated in AI tooling right now. you spend 20 minutes setting up context in a conversation and then it just... vanishes. self-hosted is the right call too, especially for teams dealing with proprietary code. how does it handle conflicting memories across different tools?

The between-session memory problem is real and this solves it well. The harder problem - at least for how I use AI - is within-session overflow. My conversations regularly hit 100K+ words before they die/lag to unusble. The context window can't hold it all anyway, so even within a single session I'm losing early context. What I actually want is a rolling summarizer that compresses as the thread grows - keeping the essential through-line while shedding weight. That plus persistent cross-session memory would be the full solution. This a great idea tho, one I really like!

How does duplicate detection handle near-duplicates or nuanced variations in context? I've found that tricky in my own memory tools.

Quick update since launch. Here are a few things worth noting:We shipped the Second Brain CLI today. If you use the terminal, you can now capture and recall memories without leaving it.npm install -g second-brain-cf-cliFor those asking about integrations, Second Brain works with Claude, ChatGPT, Cursor, Windsurf, and any MCP-compatible client. There’s also an Obsidian plugin in the community directory, a Chrome extension, iOS Shortcuts in the repo, and a web UI if you prefer managing everything visually.CLI, Obsidian, Chrome extension, iOS Shortcuts, MCP… same memory, every interface.

This is a strong wedge. The bit I’d be most careful with is treating “newer” as automatically more correct when memories conflict. For writing/product work especially, an old positioning decision might still be canonical while a recent one-off chat is just exploration.A lightweight status layer could help a lot: canonical, draft, preference, deprecated, maybe source-linked. Then the model can say “I found the current rule” vs “I found a past note that may be stale,” instead of injecting both with the same confidence.

Semantic retrieval over stored context beats keyword search for memory, and the dedup layer is a smart addition since AI workflows generate a lot of overlapping notes. We've wrestled with context window management in multi-step AI tasks too: deciding when to summarize vs. fetch older context is genuinely tricky. How does the similarity threshold work when memories partially overlap? Can users tune it?

what the actual setup experience looks like for someone who knows their way around cloudflare but isn't a backend developer. the github readme is usually where these projects lose 80% of potential users because the instructions assume a level of comfort with wrangler and environment variables that most people who would benefit from this don't have. is there a one-click deploy path or is it still a manual configuration process

The product is good and very needed for those who want very personalised chats.But even claude has a good context window not that big but decent

Nice one @rahilpirani !This can be run on-prem too?

persistent memory is the piece most AI tools are missing right now. you end up re-explaining context every session which kills the usefulness for anything beyond one-off tasks. curious how this handles conflicting memories when your thinking evolves over time — does it version or just overwrite?

curious how it handles conflicting memories. if you store an architecture decision then change it a month later, does it override or accumulate? stale context injected confidently is probably worse than no context at all

Does it work seamlessly with ChatGPT and Claude together?

how it's different than https://github.com/rohitg00/agen...

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Hey Product Hunt, I'm Rahil. I built Second Brain.I got tired of explaining myself to every AI tool during each session. A new Claude window is a blank slate. A new Cursor project doesn’t know my stack. It adds up quickly.Second Brain is a self-hosted memory layer that connects to Claude, ChatGPT, Cursor, and any MCP client. You store context once and recall it by meaning across any session. Everything lives in your own Cloudflare account, not on a third-party server. There's a free tier, and you don't need a subscription. You also get a web UI to browse and manage everything visually.What makes it different:It works with all your AI tools—not tied to one app.It uses semantic recall, which finds memories by meaning instead of exact keywords.It’s self-hosted, so your data stays in your own Cloudflare account.There’s a free tier, so it costs nothing to run.The web interface lets you browse, search, and manage memories visually.II’m really curious: what context do you find yourself re-entering most? That has influenced my roadmap more than anything else.Ask me anything. Big shout out to @fmerian for his support!