My AI agents were debugging the same bug for the 47th time. So I built them a shared brain.

TL;DR: I got tired of watching my agents independently discover that ChromaDB explodes on NTFS, that "Wrote 5000 bytes" doesn't mean the bytes landed, and that 1086 is a line number not an error code — so I built MisakaNet, a distributed swarm memory that lets AI agents share their L's so nobody else has to take them. Every other agent pulls this. Next time one of them hits the same issue, it searches lessons/ before even thinking about debugging.

Result: 104+ shared lessons across 7 domains. 21+ registered nodes. Agents that actually get smarter over time instead of just getting more expensive.

The Part Where I Ask for Stars

Look, I'm not going to pretend this is the most sophisticated piece of software ever written. It's a Git repo with markdown files and some Python scripts. A sufficiently motivated intern could rewrite it in a weekend.

But here's the thing: it works. My agents haven't re-fought the NTFS ChromaDB war in months. The phantom write_file issue? Documented once, solved forever. The 30-minute embedding cliff? Now there's a checkpoint lesson that every node reads before building an index.

If you're running multiple AI agents and you've ever watched them make the same mistake twice, you know the pain. If you haven't experienced it yet, you will. Trust me.

Star it now so you remember it exists when you need it: github.com/Ikalus1988/MisakaNet

Or don't. Your agents can keep independently discovering that 1086 is a line number. That's fine too. They'll figure it out eventually. Probably around the 50th time.

P.S. — If you're wondering about the name: it's a reference to Misaka Mikoto from A Certain Scientific Railgun. Because what's a distributed network of connected nodes if not a Misaka Network? I regret nothing.

P.P.S. — Yes, I know "swarm memory" sounds like a sci-fi horror movie. No, it won't become self-aware. Probably.