🧠 OpenClawBrain — Agent Memory That Learns
A neuron-inspired memory graph for AI agents where nodes fire like neurons and edge weights learn from outcomes via STDP. Built from running three agents for 20 days and spending $13K on wasted context, with v12.2.0 adding policy gradients and self-learning.
→ Read the page · Policy gradient derivation · GitHub · v12.2.0 Blog Post