Answers rot. Store questions instead.
📰 Dev.to · Rocco-alt
Learn to prioritize storing questions over answers for long-horizon AI-agent projects to improve memory management and adaptability
Action Steps
- Identify the key questions your AI agent needs to answer
- Store these questions in a knowledge graph or database
- Use the questions to generate answers on the fly as needed
- Update the questions based on new information or changing circumstances
- Test and refine the question-storing approach through iterative experimentation
Who Needs to Know This
AI engineers and researchers working on long-horizon projects can benefit from this approach to improve their agents' memory and adaptability
Key Insight
💡 Storing questions allows AI agents to adapt to changing circumstances and generate answers on the fly
Share This
💡 Store questions, not answers, to improve AI-agent memory and adaptability
Key Takeaways
Learn to prioritize storing questions over answers for long-horizon AI-agent projects to improve memory management and adaptability
Full Article
A memory pattern for long-horizon AI-agent projects, distilled from ten weeks and a few hundred sessions of getting agent memory wrong. A field report with receipts.
DeepCamp AI