MemoryPlugin adds long-term memory to your AI chats, letting tools like ChatGPT, Claude, Gemini, and others remember important details across conversations. This reduces the need to repeat information and enhances the personalization and efficiency of your interactions with AI. By using the Chrome extension and connecting through memoryplugin.com, you can manage what the AI remembers and ensure that your chats are always built on a consistent knowledge base, leading to better and faster assistance.

A-Mem is designed to seamlessly integrate with Python-based AI agent frameworks, offering three distinct memory modules: episodic memory for per-episode context, short-term memory for immediate past actions, and long-term memory for accumulating knowledge over time. Developers can customize memory capacity, retention policies, and serialization backends such as in-memory or Redis storage. The library includes efficient indexing algorithms to retrieve relevant memories based on similarity and context windows. By inserting A-Mem’s memory handlers into the agent’s perception-action loop, users can store observations, actions, and outcomes, then query past experiences to inform current decisions. This modular design supports rapid experimentation in reinforcement learning, conversational AI, robotics navigation, and other agent-driven tasks requiring context awareness and temporal reasoning.