Memory (AI agent)
An AI agent's ability to retain information across multiple interactions or workflow runs. Short-term memory persists within a single conversation; long-term memory stores facts in a vector database for retrieval in future interactions.
Expert insight
An AI agent's memory (retaining context across multiple interactions) needs an explicit policy for what gets remembered and for how long, an agent that remembers everything indefinitely can leak stale or sensitive context into a much later, unrelated conversation, memory needs deliberate scoping, not unlimited accumulation by default.
How PURIST uses this
This concept is built into every automation we deploy.
When PURIST builds your automation, Memory (AI agent) is not an optional consideration it is part of the production standard. Our workflows are tested against edge cases, monitored 24/7, and built to handle what happens when things don't go as expected.
Every client workflow we deploy in the AI & Agents category is designed with this principle in mind from day one not added as an afterthought.
Complexity level
Technical term used in production automation systems.
Related terms
AI Agent
An autonomous AI system that can plan, reason, use tools, and complete multi-ste…
Vector database
A database designed to store and search high-dimensional vectors (embeddings). U…
RAG (Retrieval-Augmented Generation)
An AI pattern where an LLM retrieves relevant data from a knowledge base before …
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