Building AI Agents
February 2, 2025 — February 10, 2025
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Placeholder while I think about the practicalities and theory of AI agents.
Practically, this usually means many agents. See also Multi agent systems.
1 Factored cognition
Field of study? Or one company’s marketing term?
In this project, we explore whether we can solve difficult problems by composing small and mostly context-free contributions from individual agents who don’t know the big picture.
2 Incoming
Introducing smolagents: simple agents that write actions in code.
Agent Laboratory: Using LLM Agents as Research Assistants
Agent Laboratory takes input from a human-produced research idea and outputs a research report and code repository. Agent Laboratory is meant to assist you as the human researcher in implementing your research ideas. You are the pilot. Agent Laboratory provides a structured framework that adapts to your computational resources, whether you’re running it on a MacBook or on a GPU cluster. Agent Laboratory consists of specialised agents driven by large language models to support you through the entire research workflow—from conducting literature reviews and formulating plans to executing experiments and writing comprehensive reports. This system is not designed to replace your creativity but to complement it, enabling you to focus on ideation and critical thinking while automating repetitive and time-intensive tasks like coding and documentation. By accommodating various levels of computational resources and human involvement, Agent Laboratory aims to accelerate scientific discovery and optimise your research productivity.
CrewAI hosts an AI agent platform and also an open-source release:
I’ve seen some very impressive things done with this by Michael Kuiper.
Swarm AI