Memory and context: the real agent bottleneck

As agents take on longer tasks, the problem stops being model power and becomes context: what it remembers, what it finds and how much of that fits in the window. In 2026 specialized pieces appeared for exactly this.

cognee gives agents persistent memory across sessions. graphify turns a codebase, with its docs, SQL schemas and PDFs, into a queryable knowledge graph with no vector store, every edge explained. And headroom sits between the tools and the model to compress outputs, logs and RAG chunks and spend fewer tokens.

Read the numbers carefully: cognee's accuracy metrics come from its own launch, and in the headroom tests the savings depended heavily on the content type. Even so, the direction is clear: context engineering is now a discipline of its own.