Pages tagged "agent-engineering"
3 pages tagged with agent-engineering.
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- Agentic Memory — How AI Agents Remember Across Sessions Agentic memory is the architecture that lets AI agents retain useful information across sessions, tasks, and time. The category covers everything from simple conversation history to learned skills, persistent project context, and cross-session preference accumulation. Memory is the difference between an agent that re-explains itself every time and one that compounds context over weeks. The discipline of designing memory well is part of agent engineering. Anthropic's Dreaming (May 2026) is the first platform-level realization of automated semantic+procedural memory consolidation.
- Guardrails — The Production Safety Layer for AI Systems Guardrails are the technical and operational controls that bound what AI agents can do, when, and with what permissions. They are the production safety layer that sits between a capable model and the real world. Without guardrails, capable agents become uncontrollable. With well-designed guardrails, the same agents are reliable enough to ship. Guardrails are paired with tool use — every powerful tool needs a corresponding guardrail.
- Tool Use — How AI Agents Reach Out of the Model Tool use is the capability that lets an AI model call external functions — search, calculators, APIs, databases, code execution — rather than generating answers from training alone. Tool use is what turns a chatbot into an agent. It is the technical foundation under all agentic-commerce, agent-engineering, and managed-agents work. The discipline of designing tools well determines whether an agent is reliable or theatrical.