Single-Agent Systems
Single-Agent Systems in Agentic Reasoning is a pattern where a single model performs the typical agentic patterns of reflection, planning and tool use.
Single agents systems tend to thrive when there's a well-defined problem or feedback from other agent-personas, or the user is not needed 1.
Agents are given system prompts and the necessary tools; no other models provide feedback. However, there could be options for humans to guide the output.
See also Multi-Agent Systems.
Papers:
- The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
- ReAct (Agent)
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Masterman, T., Besen, S., Sawtell, M., & Chao, A. (2024). The landscape of emerging AI agent architectures for reasoning, planning, and tool calling: A survey. arXiv. https://arxiv.org/abs/2404.11584 ↩