memory
Deep Dives and Frameworks
Implementation playbooks, operator patterns, and durable analysis.
Signals, Maps, and Watch Lists
Production-oriented analysis, benchmarks, and market/system intelligence.
External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable production templates and trackers.
Agent Memory Fails on Relationships, Not Recall
New June 2026 memory benchmarks show why long-running agents fail when facts conflict, evolve, or depend on hidden relationships.
Evaluation-Aware Memory: How Agents Should Remember What They Can Prove
Agent memory should promote facts only after evals prove they improve task outcomes, not just because retrieval found them.
Agent Memory Architecture: Long-Term, Episodic, and Semantic Memory for AI Agents
After a year of ad-hoc RAG solutions, agent memory is becoming a proper engineering discipline. Four independent research efforts outline budget tiers, shared memory banks, empirical grounding, and temporal awareness: the building blocks of a real memory architecture.
Vector Databases Are Agent Memory. Treat Them Like It
Most teams treat vector databases as fancy search indexes. The teams building agents that actually remember treat them as memory systems: with tiered architecture, decay policies, and retrieval strategies that mirror how memory actually works.
The RAG Reliability Gap: Why Retrieval Doesn't Guarantee Truth
RAG is the industry's default answer to hallucination. The research says it's not enough.
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.