LLM Memory

Definitions

1. The mechanisms by which a large language model system retains or reuses relevant information across turns, tasks, or sessions. LLM memory may involve conversation history, external stores, summaries, or retrieval rather than changes to the model itself.

   In plain English: How a large language model system remembers prior information.

   Example: "They designed LLM memory as a retrieval layer over verified notes instead of storing raw conversation transcripts indefinitely."

Related Terms

• AI Memory
• Conversation Memory
• LLM Benchmark
• LLM Cache
• LLM Calling
• LLM Completion
• LLM Config
• LLM Optimization
• LLM Pipeline
• LLM Platform
• LLM Plugin
• LLM Proxy
• LLM Reliability
• LLM Router
• LLM Scale
• LLM SDK
• LLM Streaming
• LLM Token
• LLM Trace
• LLM Wrapper
• Memory Bank