Should AI agents keep a brain apart from their knowledge base?
This Reddit post says AI agents often find the same answer, then repeat the same search and reasoning a few days later. The writer compares a knowledge base to a library and memory to a brain. They suggest that an agent could save distilled understanding after reading and comparing documents.
Key points
- The post points to repeated search and reasoning as a common agent problem.
- A knowledge base is described as the place that stores information.
- Memory is described as the place that stores reusable understanding.
- The suggested idea is to save a short insight after an agent has worked through documents.
- This could reduce token use, but the saved memory must stay accurate.
Quick term guide
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- reasoning
- The ability of the AI to think through complex steps to find a solution.
- knowledge base
- A stored collection of information, such as documents, notes, code, or records.
- distilled
- A smaller AI model is trained to copy patterns from a larger AI model.
- distill
- A way to train a smaller AI to copy useful behavior from a larger AI.
- Shortcut
- A phone automation that can run a small task for you.
- sources
- Evidence showing where a piece of information came from.