Agent Memory
Systems that give AI agents persistent storage for facts, preferences, and conversation history across sessions. Memory enables agents to build cumulative knowledge over time.
Why It Matters
Agent memory transforms AI from amnesiac (every conversation starts fresh) to knowledgeable (it remembers context, preferences, and past interactions).
Example
An AI assistant that remembers your preferred communication style, your project deadlines, and the decisions made in previous sessions — building a working relationship over time.
Think of it like...
Like the difference between a new temp worker every day versus a dedicated assistant who has worked with you for years and knows your preferences.
Related Terms
AI Memory
Systems that give AI models the ability to retain and recall information across conversations or sessions. Memory enables persistent context, user preferences, and accumulated knowledge.
AI Agent
An AI system that can autonomously plan, reason, and take actions to accomplish goals. Unlike simple chatbots, agents can use tools, make decisions, execute multi-step workflows, and adapt their approach based on results.
Context Management
Strategies for efficiently using an LLM's limited context window, including what information to include, how to compress it, and when to summarize or truncate.