
Second Brain for AI
Rahil Patel · Productivity
Second Brain for AI is a self-hosted memory layer that gives every AI tool you use one shared, searchable store of context. It runs on Cloudflare's free tier inside your own account, and it talks to Claude, ChatGPT, Cursor, Codex, and any other MCP client through the same address. Save a decision in one app, ask about it in another, and the answer comes back with the source attached. That shared context for AI tools is the whole point. No repeated briefings.

About Second Brain for AI
What Is Second Brain for AI
Second Brain for AI is an open-source persistent memory system for AI assistants. The problem it solves is simple and annoying: your AI tools don't share memory. You brief ChatGPT on Monday, then repeat the same briefing to Cursor on Thursday because neither one knows what the other was told. This memory layer sits between them.
It runs as a Cloudflare Worker, and the memories, vectors, and credentials all live in your own Cloudflare account. Recall works by meaning rather than exact wording. A note you saved as "launch plan" turns up when you later ask about "release schedule." That's AI memory on Cloudflare in its simplest form: your context, your account. Nothing shared without your say-so.
It's free software under the MIT license, and there's no paid tier. The one real catch: setup runs through a desktop app on Mac or Windows, so Linux users have to deploy it manually. You also need a free Cloudflare account. Heavy personal use of Cloudflare's free-tier services can run into infrastructure charges, but most solo users never hit that ceiling.
Getting Started
- Download the desktop app for Mac or Windows, and open it.
- Choose a password, then sign in to Cloudflare when prompted. The app provisions your memory service in your account.
- Follow the guided steps to connect an AI tool. Some clients just need a pasted MCP URL plus the supplied memory instructions.
- Save a test memory from one connected tool, then ask a different tool a question about it to confirm recall works.
- Open the web dashboard any time to browse, edit, export, or delete what's stored.
Product Information
A quick look at Second Brain for AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Developers and builders who switch between several AI coding tools in a day and are tired of re-explaining project context in each one.
- Small teams that want one shared memory for decisions while keeping each person's private notes unreadable to the rest, at no extra cost.
- Privacy-minded users who want their AI context stored in their own cloud account rather than a vendor's servers.
Tasks
- Carrying a project decision from a chat in one tool into a coding session in another, with the original source still attached.
- Asking a natural-language question and getting an answer built from what you actually saved, plus links back to each memory.
- Capturing notes from a terminal, browser extension, Obsidian, Notion, calendar, or email into one place without manual copying.
Scenarios
- Picking up a stalled project by asking a fresh chat where things stand, instead of rebuilding the context by hand.
- Keeping long-running client or research threads separated into their own projects so a question about one doesn't drag in everything else.
- Working across a laptop and a phone
Key features
One memory across every MCP client
Second Brain speaks the Model Context Protocol, so it works as a shared MCP memory server for Claude, ChatGPT, Cursor, Codex, and other compatible clients. They all read and write the same store through a single address. Nothing to copy or sync between apps. The trade-off is that a client has to support MCP or one of the capture surfaces. A tool that talks to none of them stays outside the loop, and for that tool, the memory simply doesn't exist yet.
Recall by meaning, not by exact words
Search runs on stored meanings rather than keyword matches. Time-aware ranking pushes the most current version of a fact to the top. Ask for what you meant and the note turns up even if you wrote it with different words months ago, which is the whole reason semantic recall beats a plain search box for personal notes. Old versions stop crowding out the answer you need now. That saves real time over scrolling.
Contradiction handling and duplicate blocking
When you save something that overlaps an existing memory, the system compares the two by meaning before storing. Very similar captures are blocked as duplicates, and near-duplicates go to a merge decision. Newer updates win the answer while the older record stays in the history. A moved meeting time won't leave your notes arguing with each other. Small detail. Big relief.
Control from your own dashboard
Every memory can be browsed, edited, appended to, connected, shared, exported, or permanently removed from the web dashboard. Each entry shows where it came from, and high-importance notes are protected from being quietly overwritten. Export comes out as JSON and Markdown with restore. That matters if you ever want to leave. No lock-in here.
Private memory plus a shared team layer
Team Edition runs on the same Worker at no extra charge. Each person gets a personal workspace nobody else can read, alongside a shared layer that only fills when someone deliberately shares. Sharing moves one canonical memory rather than making a copy. Only the author or an admin can edit, delete, or un-share it. Admins manage people and integrations without gaining access to anyone's private memories, which is the part most team tools get wrong.
Capture from where you already work
Memories can be saved from MCP clients, a CLI, a browser extension, an Obsidian plugin, Notion, calendars, email, iOS Shortcuts, or the dashboard itself. Calendar and inbox sync run read-only, so the week's movements land by themselves without you filing anything. Why does that matter? Because a memory layer only earns its keep if saving costs you nothing in the moment. This spread of capture surfaces is what makes it useful rather than another inbox to maintain. Save from the terminal. Save from the share sheet. It all lands in one store.
Automatic projects and weekly insights
You can file memories into named projects, like a website, a client, or a room. A question about one returns only that project's notes. The tools sort captures into projects for you. Optional weekly insights gather themes recurring across what you've stored, which saves you compiling them by hand. That last part is genuinely useful once the store gets big.
Pros and cons
Pros
- Free under the MIT license, with no paid tier and no vendor lock-in on pricing.
- Runs in your own Cloudflare account, so you keep control of memories, vectors, and credentials.
- Semantic recall plus time-aware ranking surfaces the latest version of a changing fact.
- Connects many AI clients and capture sources through a single MCP address.
- Team Edition adds a private-per-person and shared layer at no extra charge.
Cons
- Setup needs a Mac or Windows computer; Linux users have to deploy manually, adding friction that casual users may not clear.
- Heavy personal use can push past Cloudflare's free-tier limits and trigger infrastructure charges you'd pay Cloudflare, not the project.
- The tool only helps if your work actually crosses two or more AI apps; if you live in one app, it adds overhead for little gain.
Frequently asked questions
It gives your AI tools one shared memory so context saved in one app is available in another. Instead of re-explaining a project to each tool every time you open it, you save the details once and recall them by meaning from any connected client, with the source still attached.
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