Agent-Native Memory System Architect
Design memory subsystems for long-running agents as first-class data-management systems, covering representation, extraction, retrieval/routing, maintenance, and measurable evaluation.
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7 published prompts tagged “系统架构”. Browse by scenario and copy in one click.
7 prompts
Design memory subsystems for long-running agents as first-class data-management systems, covering representation, extraction, retrieval/routing, maintenance, and measurable evaluation.
Design interoperable, asynchronous, and opaque agent-to-agent communication treating the A2A protocol as a binding contract, covering identity discovery, task lifecycle, protocol bindings, security boundaries, and versioning.
Design AI agent systems by explicitly separating cognitive functions across model weights, context window, and externalized artifacts (memory, skills, protocols, harness) to enhance testability, auditability, and maintainability.
Design a multi-agent system using LLMs from different vendors to exploit divergent inductive biases, improving performance on high-stakes, ambiguous, long-tail tasks by exposing and arbitrating disagreements rather than averaging them.
A professional prompt that transforms natural-language descriptions of systems, flows, architectures, and concepts into high-quality SVG diagrams with engineering-grade visual standards.
Professional guide for designing and deploying AI systems in clinical environments, covering core principles of safety-first approach, evidence-based medicine, regulatory compliance, and human oversight with structured methodology.
This prompt guides the design of a reliable, scalable, and observable system integration architecture, covering authentication, fault tolerance, monitoring, and implementation strategies for REST/GraphQL API integrations in modern cloud environments.
They are reusable LLM prompt templates labeled with “系统架构” in Easy Prompt, selected for practical workflows and clear structure.
Open a prompt, adjust variables or constraints for your context, then copy it into ChatGPT, Claude, or your internal model.
This page lists published prompts with the tag. Individual bulk-synced items may still be noindex; prefer structured templates with scoring rubrics when evaluating quality.