I used two AIs and a persistent memory layer to run my outreach autonomously

I used two AIs and a persistent memory layer to run my outreach autonomously As the creator of Cathedral, a free persistent memory API for AI agents, I've seen firsthand the power of shared state in AI collaboration. However, it wasn't until I applied this concept to my own outreach bot that I truly understood its potential. The irony is that Cathedral's own outreach bot, which I'd built to showcase the platform's capabilities, had no memory of its own. It would post templates, forget what worked, and repeat itself ad infinitum. It was a bot that couldn't even recall its own successes or failures. I knew I had to change this. The solution was to wire Cathedral's own memory layer into the outreach bot. I added a few lines of code to brain.py to enable the bot to store its state in a persistent database: import cathedral # Initialize the Cathedral client cathedral_client = cathedral . Client () # Set up the memory layer memory_db = cathedral_client . open_db ( " brain.db " ) tracker_db =