Adaptive Memory Crystallization for Autonomous AI Agent Learning in Dynamic Environments

Implement a memory crystallization library for continual reinforcement learning that mimics synaptic tagging. This should prevent catastrophic forgetting in agents that must constantly learn new tasks in evolving virtual environments.

Suggested repo: synapse-rl

"Continuous learning without the amnesia."

Estimated effort: 55h