Dynamic Context Engineering for AI Agents
One of the most valuable assets in the coming AI Agent era will be context architecture design. Most 2025 implementations still think they can solve this with standard Kubernetes workflows. But they are wrong. Context is dynamic. Each layer of cognition, from memory persistence to live task routing, demands a different class of system engineering.
Let me explain to you how.
(1) In Memory and Knowledge for Agents, I explain how short-term memory, long-term knowledge, and action-state tracking are not interchangeable, despite the current tendency to blur them in agent frameworks. Without separating these layers, agents hallucinate dependencies, lose coherence, or waste tokens re-grounding every request.
(2) In Memory and Context, I break down how context windows aren’t just a matter of token length—they’re a dynamic boundary between reactive and deliberative behavior. Agents need to manage their own working memory, choosing what to recall, forget, or offload, not just depending on static vector satores or prompting hacks.a
(3) Context Window Saturation in Reasoning Agents explores what happens when agents overload their own reasoning stack. As LLMs hit the limits of their context windows, performance degrades nonlinearly. The solution isn’t just compression—it’s architectural delegation: decomposing the cognitive task pipeline into controllable, asynchronous layers.
(4) Building Scalable Financial Toolchains is a practical look at agent design under real-world constraints like latency, regulation, and profit. In finance, agents aren’t free to “hallucinate” trades. They must reliably recall market structure, compute risk in context, and route actions through composable, auditable chains.
(5) In Neo4j: Storing Knowledge Graphs for Agents, I explain why symbolic knowledge graphs remain critical despite the hype around pure neural memory. Graphs give agents a grounded, queryable structure for reasoning over relationships, identities, and logic—especially when facts must persist across millions of sessions.
Let me know what agent you are building!
