Reasoning & Memory

How models think, remember, and retrieve information. Reasoning tokens, RAG pipelines, context engineering, and the memory architectures that make agents useful.

Guides and explainers

Detailed guides and practical technical analysis.

Memory Scores Can Inflate Agent Rewards
IFCMemoryBench Finds the Missing Project Facts
Knowledge Graphs for AI Agents: Beyond Vector Search
RAG Cost Attacks Turn Retrieval Into a Budget Risk

Latest analysis

Recent research, benchmark reviews and technical updates.

Memory Scores Can Inflate Agent Rewards
Million-Token Context Still Fails the Workload Test
RAG Cost Attacks Turn Retrieval Into a Budget Risk
Multimodal Memory Tests Expose the Personal-Agent Gap

Practical tools

Templates for budgets and project planning

BoredTools offers practical spreadsheets for budgets, freelance work and small projects.

Browse templates Free budget tracker

Signal Field Guides Evidence-first framing

The Goldfish Brain Problem: Why AI Agents Forget and How to Fix It

Stanford deployed 25 agents that planned a party autonomously. But most production agents today can't remember what you told them ten minutes ago. The memory problem isn't a model limitation; it's an architectural one, and new solutions are emerging.