Your memories belong to you and not your agents. Whenever you are working with multiple agents you all must be encountering a problem that the context between them is not in sync. This leads to the problem of you explaining the same problem again and again. Make0 solves this problem by giving your agents a common memory store to which agents can read and write to. Introducing Make0 Brain OSS - Free, Open sourced, and MIT licensed. 🙌
I’m building Make0 Brain, and a lot of people asked me for a version they could run locally instead of relying on a hosted service. So I built one! 😁It's called Make0 Brain OSS!
Make0 Brain OSS gives your AI agents a shared memory that lives on your machine. Claude Code, Cursor, Codex, Windsurf, and other supported MCP clients can read and write to the same brain.
A few things I care about:
Your memory stays local, in SQLite.
It works offline, with no API key needed for core functionality.
Every memory change is versioned, so you can see what changed and restore previous versions.
It’s free, open source, and MIT-licensed.
You can get started with one command:
npx @make0-ai/brain init
The hosted Make0 Brain isn’t going anywhere either. If you need always-on memory across devices and web-based AI tools, you can use the cloud version.
I’d genuinely love feedback, especially from people using multiple AI agents every day. What’s working, what’s broken, and what would you like to see next?
Thanks for checking it out ❤️
About Make0 Brain OSS on Product Hunt
“Sync context across all your agents”
Make0 Brain OSS launched on Product Hunt on November 6th, 2026 and earned 70 upvotes and 3 comments, placing #31 on the daily leaderboard. Your memories belong to you and not your agents. Whenever you are working with multiple agents you all must be encountering a problem that the context between them is not in sync. This leads to the problem of you explaining the same problem again and again. Make0 solves this problem by giving your agents a common memory store to which agents can read and write to. Introducing Make0 Brain OSS - Free, Open sourced, and MIT licensed. 🙌
On the analytics side, Make0 Brain OSS competes within Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Make0 Brain OSS performed against the three products that launched closest to it on the same day.
Who hunted Make0 Brain OSS?
Make0 Brain OSS was hunted by Saurabh Singh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Make0 Brain OSS including community comment highlights and product details, visit the product overview.
Saurabh Singh
Hey Product Hunt 👋
I’m building Make0 Brain, and a lot of people asked me for a version they could run locally instead of relying on a hosted service. So I built one! 😁It's called Make0 Brain OSS!
Make0 Brain OSS gives your AI agents a shared memory that lives on your machine. Claude Code, Cursor, Codex, Windsurf, and other supported MCP clients can read and write to the same brain.
A few things I care about:
Your memory stays local, in SQLite.
It works offline, with no API key needed for core functionality.
Every memory change is versioned, so you can see what changed and restore previous versions.
It’s free, open source, and MIT-licensed.
You can get started with one command:
The hosted Make0 Brain isn’t going anywhere either. If you need always-on memory across devices and web-based AI tools, you can use the cloud version.
I’d genuinely love feedback, especially from people using multiple AI agents every day. What’s working, what’s broken, and what would you like to see next?
Thanks for checking it out ❤️