How we built Cognitive Memory for Agentic Systems
Many agentic systems start every run from zero, the system and its agents discover the same context, calls the same tools, makes the same mistakes, every. single. time. That's not just inefficient, it creates a major ceiling on what agentic systems can do. The obvious fix is to bolt on some sort of memory into the system, store everything, retrieve by similarity with vectors, hope for the best. But naive memory implementations creates its own problems like context bloats, outdated information po