Mem0 Agent Memory
Give agents persistent, personalized long-term memory with Mem0. Store user facts and preferences, search and recall relevant context, and keep memory fresh across sessions so assistants remember who they're talking to.
This skill adds a Mem0 memory layer to LLM apps and agents. It captures user facts, preferences, and past interactions, retrieves the most relevant memories for each turn, updates and deduplicates stored memory over time, and injects only the pertinent context into prompts to keep responses personalized without bloating the context window.
mem0 agent-memory personalization llm context
When to use
Use when an agent or chatbot needs to remember users across sessions — storing, searching, and recalling long-term personalized memory.
Examples
Add memory to a chatbot
Remember users across sessions
Add Mem0 to my support chatbot so it remembers each user's product, plan, and past issues between conversations
Recall relevant context
Search memory per turn
Use Mem0 to retrieve only the memories relevant to the current question and inject them into the prompt