What belongs here
- What agent systems are
- When not to use agents
- Agents versus deterministic workflows
- Tool use and environment boundaries
- Memory and context at a conceptual level
- Single-agent and multi-agent basics
Editorial intent
Start with universal questions, plain language, and durable mental models. This is the first stop for global readers who want conceptual clarity before they go deeper into implementation details.Current pages
- What Are Agent Systems: a practical definition of agent systems as software loops, not just chat surfaces.
- Agents Vs Workflows: when to use deterministic orchestration, bounded autonomy, or a hybrid design.
- History Of Agent Ideas: a short problem-driven history from symbolic systems to modern agent stacks.
- LLM Foundations For Agent Systems: the minimum model concepts needed to design agent systems well.