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User-provided structured notes that specify hardware resources, API keys, and research plans to guide agent behavior.
Distinct from Research Agent Frameworks: Distinct from Research Agent Frameworks: focuses on the input mechanism of structured notes for agent configuration rather than general framework architecture.
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AgentLaboratory is a multi-agent research system that automates the entire scientific experimentation process, from literature review through experiment execution to report generation, using a sequence of specialized AI agents. The system orchestrates a team of language-model-driven agents—a literature reviewer, experimental planner, executor, and report writer—to autonomously complete an end-to-end research workflow. The system distinguishes itself by saving progress at every checkpoint, enabling seamless recovery and continuation after interruptions or failures. Agents build on each other's
Ships with a structured note system for users to specify hardware resources, API keys, and research plans to guide agent behavior.