Every AI conversation starts from zero. Your projects, decisions, and preferences disappear as soon as you close the chat. Second Brain fixes that. It is a self-hosted memory layer that works with Claude, ChatGPT, Cursor, and any MCP client. You can store context once and recall it by meaning instead of keywords. It includes duplicate detection, semantic search, and a web UI. Built on Cloudflare, it offers a free tier and your data remains yours. MIT licensed.
This is the 2nd launch from Second Brain for AI. View more
Second Brain for AI v2
Launched this week
Second Brain remembers your projects, people, decisions, and preferences across Claude, ChatGPT, Cursor, Codex, and any MCP client. V2 automatically links related memories, follows those connections during recall, and distinguishes settled decisions from drafts and stale context. Open source and self-hosted in your Cloudflare account.
Free
Launch Team / Built With
self-hosted and MIT licensed is the right call for something that's basically your whole context history - I'd never trust a memory layer like this if I couldn't see exactly where the data lives. the "canonical vs draft" distinction for handling contradictions is smart, most memory tools just let the newest write win and call it a feature
Second Brain for AI
@omri_ben_shoham1 Building it on your own Cloudflare account was the only architecture where trusting the memory layer isn't a leap of faith. The canonical vs draft decision follows the same logic - if you own the data, you should also own every decision about what overwrites what.
As a solo dev I burn the first ten minutes of every Claude and Cursor session re-explaining decisions I already made, so a self-hosted memory layer is something I'd actually run. The canonical-vs-draft split, so a newer write doesn't silently overwrite a settled decision, is the sharp part here — treating recency as truth is exactly how these memory piles rot. Running it on my own Cloudflare free tier basically seals it.
Second Brain for AI
@lennoxbeflying Ten minutes per session adds up fast across tools. Running on your own Cloudflare free tier at personal scale without hitting limits was a design requirement, not a lucky side effect - glad that part lands.
Second Brain for AI
@lakshminath_dondeti The user. Agents are the interface, writing and recalling on your behalf. External sharing is out of v2 scope.
does it provide any kind of api for that storage ?
Second Brain for AI
@kartikmalik Yes, two interfaces: MCP tools (remember, recall, search) for AI clients like Claude and Cursor, and a REST API for direct programmatic access. Both are documented in the GitHub repo README.
Foyer
What is the diff with a simple obsidian vault?
Second Brain for AI
@fberrez1 Obsidian is notes you write for yourself. This is memory AI tools write automatically across Claude, ChatGPT, and Cursor, recalled by meaning rather than keyword search.
That's a clean model — surfacing draft-vs-canonical at write time with source + timestamp is exactly the right primitive. The hard part I keep hitting in my own domain (character memory for fiction) is the *third* case: not a clean conflict, but a soft drift where the new statement doesn't contradict the canonical, it just slowly erodes it. "She's cautious" → "she took a risk once" → "she's a risk-taker." No single write trips the detector, but the canonical is gone. Curious whether you've thought about drift vs. hard conflict as separate problems, or if that's out of scope for the tool-sync use case.
Is this open sourced?
Second Brain for AI
@ethan_lee8 Yes, MIT licensed.